what to do after phd in computer science

5 Highest-Paying Career Options for PhDs in Computer Science

For those working toward earning their Doctorate in Computer Science , it isn’t uncommon to have questions regarding career paths. Some of these questions include, “Can I get the kind of job I want in computer science following graduation?” “What are my job options?” “What is a doctorate in computer science salary?” “Is a computer science PhD worth it?” Let’s look at five careers with a PhD in Computer Science to help answer some of these questions.

1. Computer Scientist

According to  Northeastern University , the average salary of a computer scientist is between $81,000 and $154,000 with a median salary of $113,180. Their primary responsibilities include the development of an organization’s computer-based tools. Development, depending on the company where they find employment, could be anything from developing algorithms to improve efficiency or designing databases. Therefore, it’s critical for a computer scientist to know C++, Java, Python, SQL, XML, or other program languages.

2. Computer Systems Engineer

The  Bureau of Labor and Statistics  states that the average median pay in 2017 was between $88,270 annually with an hourly rate of $44.20. A computer systems engineer, also known as a computer systems analyst or system architect, studies a company or organization’s procedures and computer systems. Then, it’s their responsibility to help the business operate more effectively and efficiently using their design solutions.

3. Computer Science Professor

According to the crowd-sourced salary website Payscale , the average salary to become a computer science professor is $84,769. It depends, however, in which state the graduation would like to teach. Computer science professors place focus on the understanding of the computational processes of computers, as well as their design. Professors also work with students of computer engineering, information technology, and other allied fields.

4. Computer Network Architect

According to  O*Net OnLine , a Computer Network Architect earns $50.31 hourly and $104,650 annually. Their primary employment responsibilities include the maintenance of computer networks to enhance user access and performance. They must also perform research to gain information about processes or products, as well as develop models or specifications for computer networks or communication systems.

5. Research and Development

According to  ComputerScience.org , the average salary for those working in research and development is approximately $113,190. Every year, this salary continues to increase. This job is also referred to as a computer science researcher and translates a PhD to industry quite well. Just about every industry needs people working in computer research and development including security, software development, academia, the government, and more.

Final Thoughts

For those wondering if computer science PhD worth it, after looking at the doctorate in computer science salary for each of the careers here, it’s possible to see that translating a PhD to industry is a lucrative decision. The first step in any career decision, however, is for the graduate to conduct research regarding interests and long-term objectives. By doing this, the reality of obtaining a career in the computer science field following graduation doesn’t have to be a dream. Graduates can achieve their goals, and they can get the job in computer science they want.

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Career After Doing PHD In Computer Science, What Comes Next?

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2. Use your knowledge to help businesses succeed.

Your skills and knowledge can also be put to work in the business world. You can consult with companies to help them improve their operations, or you can start your own business and help others achieve their goals. No matter what path you choose, you can use your PHD to make a difference in the business world.

3. Use your skills to make advancements in your field.

You can also use your PHD to make advances in your field of study. You can conduct research and develop new theories and ideas that can help shape the future of your field. You can also use your knowledge to create new products or services that can improve the lives of people around the world.

4. Use your skills to make a difference in the world of policy.

If you want to have a direct impact on the world, you can use your PHD to help shape public policy. You can work with government officials to develop policies that can improve the lives of people around the world. You can also use your knowledge to influence the private sector and help businesses make better decisions that can impact the world in a positive way.

5. Use your skills to make a difference in the world of philanthropy.

If you want to make a lasting impact on the world, you can use your PHD to help others in need. You can work with charities and other organizations to provide resources and support to those who need it most. You can also use your knowledge to educate others about important issues so that they can make a difference in their own communities.

No matter what path you choose, you can use your PHD to make a difference in the world. There are many ways to put your skills and knowledge to work, and you can choose the path that best suits your goals. If you are passionate about making a difference, you can find a way to use your PHD to make the world a better place.

The possibilities are endless when it comes to using your PHD to make a difference in the world. You can use your skills and knowledge to teach others, help businesses succeed, make advancements in your field, shape public policy, or work in philanthropy. No matter what you choose to do, you can use your PHD to make a difference. So what are you waiting for? Get out there and start making a difference today!

If you are looking to earn your PHD in computer science, there are many great universities to choose from. But which one is the best for you? Here is a list of some of the best universities for earning your PHD in computer science:

AMU Aligarh - Aligarh Muslim University

IIT Kanpur - Indian Institute of Technology

CSJMU Kanpur - Chatrapati Shahu ji Maharaj University

Sharda University, Greater Noida

Galgotias University, Greater Noida

Shiv Nadar University, Greater Noida

Allahabad University - University of Allahabad Allahabad

Lucknow University - University of Lucknow

Amity University, Noida

Era University, Lucknow ( Computer Science )

These are just a few of the top universities for earning your PHD in computer science. If you want to learn more about each of these schools, you can check out their websites or contact their admissions offices for more information. Once you have decided on the school that you want to attend, you will need to start preparing for your application. The first step is to take a look at the requirements for admission into the school of your choice. Each school has different requirements, so it is important that you know what they are before you begin your application process. After you have reviewed the requirements, you will need to gather all of the necessary materials for your application. This includes transcripts, letters of recommendation, and your resume. Once you have all of the materials ready, you will need to submit your application.

After you have submitted your application, you will need to wait for a decision from the admissions committee. If you are accepted, you will be able to begin your studies at the school of your choice. But if you are not accepted, you may need to reapply to the school or choose another university. Once you have been accepted into the school of your choice, you will need to begin your studies. You will likely need to take classes in mathematics, physics, and computer science. You will also need to complete a research project during your time at the school.

After you have completed your studies, you will need to complete your dissertation. This is a long and detailed document that you will need to write about your research project. Once you have finished your dissertation, you will need to defend it in front of a panel of experts. Once you have defended your dissertation, you will be awarded your PHD in computer science. You can then use this degree to pursue a career in the field of computer science or any other field that you are interested in. With your PHD in hand, you will be able to make a difference in the world of computer science. So what are you waiting for? Get started on your journey today!

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Doctorate in Computer Science Overview

Are you ready to discover your college program?

Doctoral programs offer focused, advanced training in computer science subfields, opening the door to employment in academia and research.

A Ph.D. in computer science provides graduate-level training for leadership roles in tech, business, and academia. Computer scientists with doctorates can also work in software engineering , artificial intelligence, and data analytics.

A doctoral degree in computer science may not be the right path for everyone, but some high-level roles require a doctorate in the field. This guide provides an introduction to the expectations of computer science Ph.D. program, common doctoral concentrations, and the job outlook for individuals with doctorates in computer science.

What Is a Doctorate in Computer Science?

A Ph.D. is the highest degree in computer science . Doctoral students focus their training in particular specialty areas, conduct research with faculty advisors, and defend dissertations. Earning a doctorate in computer science takes 4-5 years. After completing their degrees, graduates commonly work in tech, biomedicine, business, and academia.

Computer science doctoral students strengthen their problem-solving, analytical, and research abilities. The degree requires exceptional computing and technology skills. Related programs with slightly different focus areas include computer engineering and computer information systems .

Who Should Pursue a Computer Science Ph.D.?

Doctoral programs require a significant commitment of time and effort. Most Ph.D. computer science programs take around five years, and some career paths, including academia, offer lower salaries than private sector jobs. Before applying to doctoral degrees, candidates should make sure their professional goals and personal attributes fit their prospective programs.

A Ph.D. in computer science trains graduate students for research-heavy and academic positions. Doctoral graduates can work as computer science professors, computer and information research scientists, and senior computer scientists.

Many tech careers do not require a Ph.D. in computer science. Consider other professional paths like computer engineering , web development , and software engineering .

What Are the Job Opportunities After a Ph.D. in Computer Science?

Computer and information technology jobs report faster-than-average projected job growth rates and significantly above-average median annual wages, according to data from the Bureau of Labor Statistics . In May 2020, tech jobs paid more than double the national median annual wage.

As a result, computer science careers offer a strong job outlook, and an advanced degree in computer science often yields greater responsibilities and higher earning potential. Professionals with Ph.D. degrees in computer science can move into academic, research, and leadership positions.

Computer and Information Research Scientists

Postsecondary teacher, how much does a ph.d. in computer science make.

Computer science professionals earn a range of salaries depending on their career paths and industries. Doctoral degree-holders commonly work as computer and information research scientists, senior software engineers, computer science managers, chief technology officers, and computer science professors.

Professionals with Ph.D. degrees in computer science can earn median salaries between $85,000-$127,000 per year. The table below introduces common career paths, median salary data, and projected job growth.

$126,830 Median Salary

15% Job Growth (2019-2029)

Source: BLS

Postsecondary Computer Science Teachers

$85,540 Median Salary

3% Job Growth (2019-2029)

— Is It Worth Getting a Ph.D. in Computer Science?

Computer science professionals with Ph.D. degrees earn high salaries and qualify for academic and research roles that either require or prefer a doctorate. When weighing whether a computer science Ph.D. makes sense, prospective students should consider whether their career goals require a doctorate.

Other factors to consider include opportunity cost, actual cost, and potential outcomes after completing a Ph.D. Is a Ph.D. in computer science worth it? The answer depends on each person’s unique circumstances.

Financial Considerations of a Ph.D. in Computer Science

Earning a doctorate often means spending several years out of the workforce. Does it make financial sense for tech professionals to pursue Ph.D. degrees? A doctorate opens doors for high-paying careers as computer scientists, computer science professors, and chief technology officers.

Prospective students can lower the cost of their degree by applying for scholarships and researching fellowship and assistantship opportunities. An online Ph.D. program may offer greater flexibility for professionals who want to continue working while earning their degrees.

Admission Requirements for a Computer Science Ph.D.

Prospective Ph.D. computer science students must meet several admission requirements. At most universities, each candidate needs a minimum of a bachelor’s degree in computer science or a related field. The most competitive programs may recommend a master’s degree in computer science .

Each applicant typically submits their GRE scores, letters of recommendation, a resume, and a statement of purpose. International applicants generally need Test of English as a Foreign Language (TOEFL) or other English language proficiency exam scores. Because admission requirements vary by university, applicants should carefully review the process at each prospective school.

What Is Required for a Ph.D. in Computer Science?

Which country is best for pursuing a ph.d. in computer science.

Universities around the world offer Ph.D. in computer science programs. Where should prospective doctoral students earn their degrees? The answer depends on several factors, including location, career goals, and specialization.

Computer scientists interested in working internationally may benefit from earning degrees in the country where they plan to work, while American computer science programs may offer stronger domestic networking and career possibilities.

What to Expect in a Doctoral Program in Computer Science

Computer science Ph.D. programs prepare graduates for advanced roles. During their first year, Ph.D. students often complete required courses that provide in-depth knowledge of advanced computer science theories and applications.

Common graduate-level computer science courses cover computer systems, machine learning, databases, artificial intelligence, and data visualization. Some programs allow students to test out of core course requirements if they demonstrate graduate-level experience.

In addition to coursework, doctoral students must pass comprehensive examinations to demonstrate their mastery of computer science and move into the candidacy phase of their degrees. As doctoral candidates, they conduct dissertation research under faculty advisor supervision. A doctoral candidate completes their Ph.D. after defending their dissertation before a faculty committee.

Some programs also incorporate teaching experience or an internship. Graduate teaching assistants help professors with grading or leading discussion sections. A computer science internship builds real-world skills and helps doctoral candidates expand their professional networks.

How Long Is a Ph.D. in Computer Science?

A graduate student typically spends 4-5 years earning a Ph.D. in computer science. During that time, they complete coursework, pass comprehensive examinations, and conduct dissertation research. At the conclusion of the program, doctoral candidates defend their dissertations.

Most computer science programs operate full time, but many also offer part-time enrollment options. In a part-time program, students take a lower course load and may spend several additional years earning their degrees.

Computer Science Concentrations

During a computer science Ph.D., doctoral students choose concentrations to focus their studies. This specialization shapes their coursework requirements, choice of faculty advisor, and the material covered on comprehensive exams. In addition to the common computer science concentrations listed below, doctoral students can design custom concentrations based on their interests and career goals.

Algorithmic Fairness and Data Privacy

Algorithms aggregate data about people’s lives. In this concentration, doctoral candidates examine the intersection between algorithms as tools and the role of fairness and data privacy.

Artificial Intelligence

Enrollees in this focus explore deep learning, natural language processing, and machine learning. The concentration may include AI in robotics or data analytics coursework.

Computational Biology and Biomedical Informatics

A computational biology or biomedical informatics concentration uses computer science to improve medical outcomes, analyze biological data, and engineer medical technologies. This track requires a strong background in algorithms and machine learning.

Computer Architecture

Computer architecture explores the intersection between software and hardware systems. Doctoral candidates examine advanced theoretical approaches to computer and network architecture, including memory management and data output.

Computer Graphics, Animation, and Computational Physics

Computer animation relies on advanced knowledge of computational physics to simulate motion and model shapes. This concentration focuses on graphics and animation skills that require advanced computer science techniques.

Programming Languages and Logics

Computer science researchers develop new programming languages. In this concentration, doctoral students examine the structure and logic behind programming languages to improve existing languages or create new ones.

Software Systems

A software systems concentration prepares graduates for advanced positions in software development, including academia and applied roles. This track emphasizes software systems techniques and practical applications of computing systems.

Accreditation for Computer Science Programs

Prospective computer science Ph.D. students should research program and college accreditation when considering computer science degrees. Accredited colleges meet high standards for educating students and granting degrees. An accredited degree fulfills the requirements for professional licenses and certifications.

In addition to college accreditation, the top computer science programs hold accreditation from programmatic accrediting agencies. These agencies evaluate computer science programs on their faculty qualifications, student learning outcomes, and degree requirements. The Accreditation Board for Engineering and Technology grants accreditation to computer science programs.

Interview With an Expert

Dr. Siming Liu

Dr. Siming Liu is an assistant professor in the Department of Computer Science at Missouri State University . He obtained his Ph.D. in artificial intelligence in games at the University of Nevada, Reno in 2015. The focus of Dr. Liu’s scientific curiosity is in computational intelligence, artificial intelligence, and machine learning, with applications in computer games and simulations. He is currently working on using reinforcement learning and evolutionary algorithms to build AI players for a variety of games (real-time strategy games, puzzle games, fighting games, racing games, sandbox games, etc).

Where did you get your Ph.D. in computer science?

I received my Ph.D. in computer science from the University of Nevada, Reno in 2015.

Why did you choose to study computer science?

When I was in middle school back in the early ’90s, I was attracted to computers, where we could create virtual worlds and interact with the characters in these worlds through keyboard and mouse. I then decided to choose computer science as my major in college.

What did you specialize in?

I specialize in artificial intelligence, computational intelligence, machine learning, and optimizations.

What do you do for a career now?

I’m currently an assistant professor in the Department of Computer Science at Missouri State University. I work with graduate and undergraduate students on a variety of research projects in the field of constructing AI players to compete with human players and other AI players on different games and simulations. My long-term career goal is to be a successful researcher and educator at Missouri State.

What advice do you have for someone considering pursuing a Ph.D. in computer science?

For someone interested in a Ph.D. in computer science, I would say a Ph.D. can be extremely rewarding and a lot of fun, but it also means a great deal of dedication and hard work for a long duration. Unless you have a strong passion for the problems you are working on, you will not finish the Ph.D.

If you decide to apply to a Ph.D. program, I would recommend you to look into different universities and different Ph.D. advisors — their current research projects and their recent publications — before applying. Carefully review the Ph.D. advisors whose research topics interest you the most and contact them before you apply in order to introduce yourself and show your enthusiasm for the research.

Frequently Asked Questions

Is it worth getting a ph.d. in computer science.

A Ph.D. program can open new pathways and career advancement for roles in academia, research, and leadership. However, it depends on your career goals.

Professionals with computer science Ph.D. degrees earn above-average salaries. In 2020, computer and information research scientists reported a median salary of over $126,000 .

Each applicant needs a bachelor’s or master’s degree to gain admission to a Ph.D. program. Doctoral students must take courses, pass comprehensive exams, and defend dissertations.

Genevieve Carlton

Genevieve Carlton holds a Ph.D. in history from Northwestern University. After earning her doctorate in early modern European history, Carlton worked as an assistant professor of history at the University of Louisville, where she developed new courses on the history of science, Renaissance Italy, and the witch trials. Carlton has published five peer-reviewed articles in top presses and a monograph with the University of Chicago Press. She also earned tenure with a unanimous vote before relocating to Seattle. Learn more about Carlton’s work at genevievecarlton.com .

Header Image Credit: FluxFactory | Getty Images

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Email forwarding for @cs.stanford.edu is changing. Updates and details here .

PhD Admissions

Main navigation.

The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. 

Eligibility

To be eligible for admission in a Stanford graduate program, applicants must meet:

• Applicants from institutions outside of the United States must hold the equivalent of a United States Bachelor's degree from a college or University of recognized good standing. See detailed information by region on  Stanford Graduate Admissions website. 
• Area of undergraduate study . While we do not require a specific undergraduate coursework, it is important that applicants have strong quantitative and analytical skills; a Bachelor's degree in Computer Science is not required.

Any questions about the admissions eligibility should be directed to  [email protected] .

Application Checklist

An completed online application must be submitted by the CS Department application deadline and can be found  here .

Application Deadlines

The online application can be found here . You may submit one application for a PhD program per respective academic term.

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Computer Science PhD

By Roman Duda · Published June 2015

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On this page:

• Introduction
• 1 Research process
• 2 What is this career path?
• 3.1 You learn cutting edge research skills
• 3.2 Potential for large impact from research
• 3.3 Other benefits
• 4 Reasons not to do a computer science PhD
• 5 Entry requirements
• 6.1 Want to use a CS PhD to make the world a better place? We want to help.

A computer science PhD offers the chance to become a leading researcher in a highly important field with potential for transformational research. Especially consider it if you want to enter computer science academia or do high-level research in industry and expect to be among the top 30% of PhD candidates.

Most people qualified to do a computer science PhD should seriously consider doing a PhD focussed on Machine Learning, which we cover in another profile .

• • Potential for large impact from your research.
• • Opportunity to become an expert in AI.
• • Freedom to pursue research topics that most interest you.
• • Very smart colleagues.
• • Helps you enter technical jobs in industry, providing a backup to academia (though if industry is your aim, it's probably better to enter directly)
• • Less than 10% end up with tenure-track jobs.
• • Takes a long time (5-7 years), with relatively low pay.
• • Doing highly open-ended research provides little feedback which can be unmotivating.
• • About half of those who enter industry afterwards don't end up with research positions.

Key facts on fit  

If you are interested, try out doing computer science research by doing a dissertation as an undergraduate or taking up research assistant jobs in a professor’s lab. Then read this advice on how to get in.

Sometimes recommended

We recommend this career if it is a better fit for you than our other recommended careers.

Review status

Based on a shallow investigation 

Table of Contents

Research process

For this profile, we read eight blogs by computer scientists on whether to do the PhD and reviewed the Taulbee survey ( the full list ). See all the other research we did in our wiki .

What is this career path?

In this profile we focus on doing a Computer Science PhD in the US, which usually takes 5-7 years. There is relatively low emphasis on taking classes – typically you only take classes when they are relevant to your research, and these can be in disciplines outside of computer science, including statistics, operations research, maths, psychology and linguistics. 1 The PhD is heavily research focused – by the end you write a dissertation which is a long and in depth exploration on a topic that you become an expert on.

Why do a computer science PhD?

You learn cutting edge research skills.

The most commonly cited advantage of a computer science PhD is that you learn highly advanced research skills:

• You learn the skill of choosing promising areas of research that are at the edges of a field: “Doing a PhD will force you to cast away from shore and explore the boundary of human knowledge. There’s a real trick to picking good problems, and developing a taste for it is a key skill if you want to become a technical leader.” 2
• You become fluent in both written and verbal technical communication: “I’ve noticed a big gap between the software engineers I’ve worked with who have PhDs and those who don’t in this regard. PhD-trained folks tend to give clear, well-organized talks and know how to write up their work and visualize the result of experiments. As a result they can be much more influential.” 3 This is a skill that’s important for entering data science .
• You learn to run experiments and interpret the results and get every aspect of your methodology closely critiqued.
• You learn how to read and critique research papers.

Potential for large impact from research

• During your PhD you get to work on the hardest problems at the edge of human knowledge, in a field with a strong track record of transformational research , in spite of its short history as an academic discipline. “PhD research is about opening up new avenues of enquiry, and working on problems that the rest of the world hasn’t even articulated yet. If you do it right, you can have tremendous impact.” 4 A computer science PhD opens up the potential to carry on with this research in academia or in industry.
• You have lots of freedom over what research topics to work on during your PhD (though if you want to continue to academia, you’ll need to initially focus on the topics that will most aid your career). 5
• Artificial Intelligence is one of the most important trends of the next century and is currently the most popular area of specialisation among computer science PhD’s. 6 We think it’s especially important that more people work on making sure the development of AI is done safely, and there’s increasing funding available for researchers with this aim, making it a promising area to enter . A computer science PhD opens up jobs focused on AI safety in industry (for example at DeepMind ), non-profits such as the Machine Intelligence Research Institute , and academia. If you want to work on this research, see our full review of the area .

Other benefits

• You often become the leading world expert on the area of your dissertation.
• You gain a much deeper understanding of complex computer science topics, which can help with reaching technical leadership positions in industry, which are in-demand and well-paid. 7 People with PhD’s also frequently get more freedom in their subsequent jobs than those with bachelor’s or master’s degrees. 5
• Highly intelligent peers, and close mentorship and feedback from some of the smartest people on earth.
• PhD level research can be extremely satisfying. You can discover previously completely unknown knowledge, you gain deep understanding of your area and you get to prioritise accuracy and truth over functionality and speed much more than you do in industry. 8
• It is generally easier to move from a computer science PhD into industry than it is to move from industry into a PhD. 9

Reasons not to do a computer science PhD

• It takes a long time: “Nobody finishes in four years. The typical time to completion is around five or six years, but there is a long tail — I reserve the term “paleo-student” for someone who has been at it more than 10 years.” 10
• You don’t get wide exposure to different career areas during this time – you only learn about academic computer science.
• Currently only around 30% of computer science PhDs get jobs in academia, with less than 10% getting tenure track positions. 11 To get a tenure-track position it is increasingly necessary to do one or more post-docs first, meaning you face even more time with relatively low pay. 12
• Currently only around 55-65% of those who get jobs in industry after their PhD get research positions (suggesting it may have been better for them to enter industry directly). 13 Overall, only around half of computer science PhD’s get research positions immediately after their PhD’s whether this is in academia or in industry. 14
• The PhD is extremely unstructured – you do highly open-ended research with no clear guidelines on progress or how to organise your time. “Research can be very rewarding and very frustrating. Most students describe graduate school as a roller-coaster with tremendous highs and tremendous lows.” 15
• The pay is not that high – median stipends range from $17,000 to $29,000. 16

Entry requirements

You need an undergraduate degree in computer science or a closely related field like engineering, maths or physics (or another major as long as you took a lot of CS classes). A master in computer science can help you enter if your major wasn’t in computer science and you haven’t taken many CS classes. 17

You also typically need:

• Previous research experience
• Excellent letters of recommendation from researchers who can comment on your research ability
• A high GPA (3.5-4.0) in computer science and maths classes and quantitative reasoning GRE scores over 650. 18

Who should most strongly consider a computer science PhD?

You should only consider a computer science PhD if you are incredibly motivated to do high-level computer science research. All the advice we read was emphatic on this point. Here is a representative quote:

The only reason to do a PhD is because you love doing research. If you don’t love research, don’t bother — it is not worth the time, money (in terms of opportunity cost vs. making a real salary in industry), or stress. 19

To get a sense of what academic research in computer science is like, try reading published papers (see for example this paper and this paper ).

Given that only 10% end up with tenure track positions and of those that enter industry immediately after the PhD only 50% end up with research positions, it’s unclear whether the PhD is worth the considerable costs for the bottom 50% or so of candidates.

Overall, especially consider a computer science PhD if:

• You meet the entry requirements.
• You’re highly motivated to do computer science research.
• You expect to be among the top 30% of PhD candidates.
• You want to go into computer science academia or do high-level research in industry, especially if you want to work on artificial intelligence .

Want to use a CS PhD to make the world a better place? We want to help.

We’ve coached dozens of people entering a CS PhD, and can often put you in touch with relevant experts for more guidance, particularly in AI/ML.

Get in touch

Notes and references

• “In contrast, a Ph.D. program typically requires typically less than 10 courses during the entire 6 years (at CMU there are 5 required “core” courses, and 3 required “electives”). The emphasis in the Ph.D. is not on classes, but rather on research. A Ph.D. student will typically take classes only when she feels that they will be useful in her research. The classes she takes may not even be in CS at all. They may be in Statistics, Operations Research, Math, Psychology, Linguistics, or anything else useful for her particular research topic.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Matt Welsh – Do you need a PhD? ↩
• Matt Welsh – So, you want to go to grad school? ↩
• “Once you have a PhD — and even during the process of getting one — you are able to be your own boss. Rather than working on someone else’s vision, you are the one to define the vision. This is especially true if you pursue an academic career after grad school, but is also the case in many industrial research labs. Typically, people with Bachelor’s and Master’s degrees aren’t afforded so much freedom.” Matt Welsh – So, you want to go to grad school? ↩
• “Artificial intelligence, networking, software engineering and databases, in that order, continue to be the most popular areas of specialization for doctoral graduates.” Computing Research Associating 2014 Taulbee Survey ↩
• “I do think that doing a PhD is useful for software engineers, especially those that are inclined to be technical leaders. There are many things you can only learn “on the job,” but doing a PhD, and having to build your own compiler, or design a new operating system, or prove a complex distributed algorithm from scratch is going to give you a much deeper understanding of complex Computer Science topics than following coding examples on StackOverflow.” Matt Welsh – Do you need a PhD? ↩
• “For all the frustrations, research can be extremely joyous. For some people, the joy of research is the joy of discovering something new that no one knew about. You might be discovering a new algorithm, a new operating system design idea, a new idea for maximizing the performance of disk arrays, etc.. For others, there’s the joy of truly understanding. You’ve probably noticed that in classes a professor or book will stop just when things are getting really interesting and say, “the rest is beyond the scope of this class.” In research, you can take a problem as far as you want and understand everything about it. For many, the joy of research comes from being able to make an impact – to change the way systems are built and design them in a smarter way. There’s also the joy of doing it right. In a company, the aim is to get a working product and ship it out quickly. In research, you can take your time and plan out your project so that you are proud to defend every one of your design decisions. Research is not about simple heuristics or quick hacks. Many people also relish the joy of being the authority on an area and of having their work read and cited by others.” Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• “In my experience, it is quite rare to make the jump from industry to grad school. First off, industry pays so much better than the PhD student stipend that it is quite hard to make this transition. Also, to get into a top PhD program, you need good letters from CS professors, and letters from industry don’t really count. After you’ve been gone for a couple of years it’s hard to get those stellar letters from the professors that may have loved you back when you were in college; newer, brighter, more energetic students have taken your place and you are long forgotten (although maybe Facebook will change all that). Industry experience rarely helps a graduate application, especially if you’re some low-level engineer at a big company writing tests all day.” Matt Welsh – So, you want to go to grad school? ↩
• “Only 27.3 percent of 2013-14 graduates took North American academic jobs, an all-time low since we began tracking this in 1989-90. The fraction taking tenure-track positions in North American doctoral granting computing departments held fairly steady at 7.6 percent for 2013-14 graduates. The fraction taking positions in North American non-Ph.D.-granting computing departments dropped from 2.1 percent to 1.9 percent. The fraction taking North American academic postdoctoral positions dropped from 14.9 percent to 11.6 percent” “The proportion of Ph.D. graduates who were reported taking positions outside of North America, among those whose employment is known, rose to 9.4 percent from 8.2 percent for 2012-13 graduates. About 37 percent of those employed outside of North America went to industry (slightly higher than reported last year), about 26 percent went to tenure-track academic positions (about the same as reported last year) and almost 20 percent went to academic postdoctoral positions (a higher rate than reported last year).” Computing Research Associating 2014 Taulbee Survey ↩
• “Tenure-track positions are increasingly requiring candidates to do one or more postdocs: This trend has been documented by Anita Jones in the article The Explosive Growth of Postdocs in Computer Science (ACM Digital Library subscription required). Since 2007, hiring of Ph.D.’s in academia is increasingly dominated by postdoc positions rather than tenure-track positions. The requirements for a tenure-track position appear to have been redefined to make one or more postdocs nearly mandatory. This has been the case in other disciplines for a long time, but it is relatively new for Computer Science. This delays a Ph.D.’s career and forces people who want to become professors to endure several more years of low pay and status.” Ronald T. Azuma – So long, and thanks for the Ph.D.! ↩
• “Among those doctoral graduates who went to North American industry and for whom the type of industry position was known, about 56 percent took research positions. This is down from the 64 percent reported last year.” “Of the doctoral graduates who went to non-North American industry positions, the positions were research by a three-to-one margin over those that were not research, the same ratio reported last year” Computing Research Associating 2014 Taulbee Survey ↩
• Table D4a. Detail of Industry Employment. Computing Research Associating 2014 Taulbee Survey ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University ↩
• Table G2. Fall 2014 Academic-Year Graduate Stipends by Department Type and Support Type. Computing Research Associating 2014 Taulbee Survey ↩
• “The only cases I recommend doing a Masters are for students that aren’t quite prepared to get into a top-ranked PhD program, for example, because their undergrad major is in something other than CS. (Note that if your undergrad major is in an area closely aligned with CS, such as engineering, math, or physics, or you took a lot of CS classes despite majoring in something else, you probably don’t need a Master’s.)” Matt Welsh – So, you want to go to grad school? ↩
• Applying to Ph.D. Programs in Computer Science – Carnegie Mellon University and Matt Welsh – Tips on Getting into Grad School ↩

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Future-Proof your Career with a PhD in Computer Science from UT Dallas

Via Study International News  —  Computer science experts are in high demand as technologies advance at breakneck speed. The  US Bureau of Labor Statistics  projects the employment of computer and information technology occupations to grow 12 percent from 2018 to 2028, much faster than the average for all occupations. Experts also believe demand for educators in the field will also increase, calling for more PhD holders in computer science and software engineering.

It’s no secret that computer science and software engineering PhD holders today are enjoying greater employment prospects. Opportunities are ample, ranging from working in research and product development divisions of companies such as Google, Microsoft, Apple, Facebook and Amazon, to becoming a faculty member at a University, to working for or creating your own technology startup. Higher-level positions at companies are also becoming more accessible to computer science and software engineering PhD graduates too, as it is common for employers to reserve their top-ranking positions for doctoral degree holders.

How can Bachelor and Master graduates in computer science, software engineering, and related fields capitalize on these opportunities? An ideal place to start is to pursue a computer science or software engineering PhD at the  University of Texas at Dallas (UT Dallas) . Its esteemed  Department of Computer Science  offers candidates intensive preparation in design, programming, theory, and applications. Training is provided for both academically-oriented students as well as those with professional goals in the many businesses, industrial and governmental occupations requiring advanced knowledge of computer theory and technology.

Tap into UT Dallas’ research prowess

The Department is respected for numerous reasons, but one stands out: Research excellence.

Its 53-strong tenure-track faculty and 45 full-time senior lecturers are engaged in cutting-edge research and teaching in areas of artificial intelligence, machine learning, cybersecurity, data science, networks, systems, theory, and software engineering.

In research-based rankings such as csrankings.org, UT Dallas  ranks   8 th in the area of natural language processing , 5 th in the area of software engineering , 12 th in artificial intelligence , and 6 th in real-time systems in the United States (2009-2019 period).

The Department holds three designations as National Centers of Academic Excellence (CAE) by the US National Security Agency (NSA) for Cybersecurity Research, Cybersecurity Education and Cyber Operations. Faculty researchers here have won external grants totaling US$45 million over the last five years.

In 2016, the UT Dallas Computer Science Department was ranked 37 th in the nation for its research expenditures, based on data from ASEE. Faculty members also direct ten research institutes and centers and have won numerous awards and accolades for their innovative research. Thirteen of their computer science faculty have won the National Science Foundation (NSF) CAREER award.

Outstanding facilities for PhD candidates

Aspiring PhD candidates will be heartened to note that they have access to state-of-the-art facilities at the university. UT Dallas boasts outstanding facilities and research labs that facilitate students’ learning, in addition to supporting the Department’s core research areas in the field.

The  Cyber Security Research and Education Institute (CSI)  serves as a national resource for government, industry and academia by conducting cutting edge research in cybersecurity threats and solutions. Meanwhile, the team at the Human Language Technology Research Institute  and the Center for Machine Learning work on some of the most challenging problems in artificial intelligence, machine learning, natural language processing (NLP) and speech recognition. The newly created Center for Applied AI and Machine Learning conducts industry-funded, applied research in artificial intelligence and machine learning to help companies gain leverage on these emerging technologies.

PhD students here are fully funded – their tuition is fully covered by the university, in addition to receiving a monthly stipend for living expenses. UT Dallas’ location in the middle of the Telecom Corridor – a technology business center that is home to thousands of high-tech companies – makes it ideal for computer science and software engineering studies. Many companies have hired UT Dallas computer science and software engineering graduates in large numbers.

Producing highly accomplished computer science PhD graduates

UT Dallas graduates are known for their  high placement rates . Many of their computer science and software engineering PhD graduates have gone on to find jobs in top-tier universities, research facilities, government agencies and prestigious companies, such as Adobe, Amazon, Apple, Cisco, Facebook, Google, Microsoft and Bank of America, among others.

One such graduate is  Dr. Ashkan Yousefpour , who currently is a Visiting Researcher at the University of California, Berkeley, working in the Berkeley Artificial Intelligence Research (BAIR) Lab. In 2020, he will join Facebook as a Research Scientist in Menlo Park, California.

Another UT Dallas PhD graduate,  Dr. Vipin Singh Sehrawat , will be joining Seagate as a Lead Staff Engineer for Cryptography and Product Security in December.

Other impressive aspects of UT Dallas include its sizeable number of female PhD computer science and software engineering graduates and a high volume of published papers in highly prestigious journals and conferences. You can view the complete list of PhD Degrees awarded at UT Dallas .

With all the above, it’s clear that computer science and software engineering PhD graduates at UT Dallas are primed for success. If you’re eager to make important contributions to the field of computer science, start your journey at this institution.

Source | Study International News

ABOUT THE UT DALLAS COMPUTER SCIENCE DEPARTMENT

The UT Dallas Computer Science program is one of the largest Computer Science departments in the United States with over 3,315 bachelors-degree students, more than 1,110 master’s students, 165 Ph.D. students,  52 tenure-track faculty members, and 44 full-time senior lecturers, as of Fall 2019. With The University of Texas at Dallas’ unique history of starting as a graduate institution first, the CS Department is built on a legacy of valuing innovative research and providing advanced training for software engineers and computer scientists.

Computer Science

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Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select “Engineering and Applied Sciences” as your program choice and select "PhD Computer Science" in the Area of Study menu.

In the Computer Science program, you will learn both the fundamentals of computation and computation’s interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, and visualization.

You will be involved with researchers in several interdisciplinary initiatives across the University, such as the Center for Research on Computation and Society, the Institute for Applied Computational Science, the Data Science Initiative, and the Berkman Klein Center for Internet and Society.

Examples of projects current and past students have worked on include leveraging machine learning to solve real-world sequential decision-making problems and using artificial intelligence to help conservation and anti-poaching efforts around the world.

Graduates of the program have gone on to a range of careers in industry in companies like Riot Games as game directors and lead scientists at Raytheon. Others have positions in academia at University of Pittsburgh, Columbia, and Stony Brook.

Standardized Tests

GRE General:  Not Accepted

APPLICATION DEADLINE

Questions about the program.

Pursuing A Part-Time Phd In Computer Science: What You Need To Know

Earning a PhD is the pinnacle of academic achievement in computer science, opening doors to research, teaching, and leadership roles. But taking 4+ years off work for a full-time program isn’t feasible for everyone.

Part-time PhD options allow professionals to attain this goal while continuing their careers.

If you’re short on time, here’s the key takeaway: Part-time CS PhD programs typically take 5-7 years to complete . They provide flexibility for working students but require diligence to balance school, research, and professional demands.

The Benefits of a Part-Time CS PhD

Progress academically without leaving your job.

A part-time PhD in Computer Science offers the unique opportunity to advance your academic career while still maintaining your professional commitments. This flexibility allows you to continue working in your current job, providing financial stability and practical application of your studies.

Balancing work and study can be challenging, but the rewards are worth it. By pursuing a part-time PhD, you can deepen your knowledge in your chosen field and make significant contributions to the advancement of computer science.

Network with faculty and peers in your field

One of the key advantages of pursuing a part-time PhD in Computer Science is the opportunity to network with esteemed faculty members and like-minded peers who share your passion for the subject. Interacting with experts in the field can provide valuable insights, guidance, and collaboration opportunities.

Attending conferences, workshops, and seminars can further expand your network and expose you to the latest developments in computer science. Building these connections can open doors to new opportunities and enhance your career prospects.

Strengthen research skills and resume

A part-time PhD program allows you to develop and refine your research skills, which are highly valued in the field of computer science. Through conducting in-depth research, analyzing data, and writing scholarly papers, you can enhance your ability to critically think, problem solve, and contribute to the body of knowledge in your area of expertise.

Moreover, having a PhD in Computer Science on your resume demonstrates your dedication, perseverance, and expertise, making you a highly sought-after candidate for both academic and industry positions.

Program Structure and Requirements

Reduced course load each semester.

Pursuing a part-time PhD in Computer Science offers flexibility in terms of course load. Unlike full-time students, part-time students typically take a reduced number of courses each semester. This allows them to balance their academic commitments with other personal and professional responsibilities.

By taking fewer courses at a time, part-time students can focus on their coursework more effectively and ensure a better understanding of the material.

Original dissertation research

The cornerstone of a part-time PhD program in Computer Science is the dissertation research. Students are required to embark on an original research project under the guidance of a faculty advisor. This research should contribute to the existing body of knowledge in the field and demonstrate a deep understanding of a specific area of computer science.

The research can involve developing new algorithms, designing innovative software systems, or exploring cutting-edge technologies.

Qualifying exams and proposal defense

Part-time PhD students in Computer Science are typically required to pass qualifying exams to demonstrate their readiness for conducting research. These exams assess the student’s knowledge and understanding of the core concepts in the field.

Once the exams are passed, students need to prepare a research proposal outlining the objectives, methodology, and expected contributions of their dissertation. The proposal is then defended in front of a committee of faculty members who evaluate its feasibility and significance.

It’s important to note that the specific structure and requirements of a part-time PhD program in Computer Science may vary depending on the institution. It is advisable to consult the program’s official website or contact the program coordinator for more detailed information.

Finding the Right Program

When pursuing a part-time PhD in Computer Science, finding the right program is crucial for success. Here are some key factors to consider:

On-campus and online options

One of the first decisions to make is whether to pursue your PhD on-campus or online. On-campus programs offer the benefit of face-to-face interactions with professors and fellow students, while online programs provide flexibility for those who are working or have other commitments.

It’s important to weigh the pros and cons of each option and choose the one that aligns best with your lifestyle and goals.

Focus on faculty research expertise

Another important factor to consider when choosing a program is the faculty’s research expertise. Look for programs where the faculty members have research interests and expertise that align with your own.

This will ensure that you receive guidance and mentorship from experts in your field of interest. Additionally, professors with strong research backgrounds can provide valuable networking opportunities and connections in the industry.

Funding availability

Funding is a significant consideration for many part-time PhD students. Look for programs that offer funding options such as scholarships, grants, or assistantships. These can help alleviate the financial burden and allow you to focus on your studies.

It’s also worth exploring external funding opportunities from organizations or government agencies that support research in your field.

Managing Your Time Effectively

Stay organized with schedules and goals.

When pursuing a part-time PhD in computer science, time management becomes crucial. It is important to create a schedule that includes dedicated study hours, research time, and coursework completion. By setting goals for each week or month, you can track your progress and ensure that you are staying on track.

One effective strategy is to use a planner or a digital calendar to keep track of deadlines, meetings, and other important events. By having a visual representation of your commitments, you can prioritize your tasks and allocate time accordingly.

Additionally, breaking down larger tasks into smaller, manageable chunks can help you stay organized and prevent overwhelm. By setting realistic goals for each study session, you can make progress towards your PhD while still managing other responsibilities.

Communicate needs clearly at work

When pursuing a part-time PhD, it is essential to communicate your needs with your employer or colleagues. Letting them know about your academic commitments and the time required for your studies can help them understand your availability and make necessary adjustments.

Consider having a conversation with your supervisor or manager to discuss your situation and explore potential flexible working arrangements. This could include adjusting your work schedule, reducing your workload, or even exploring opportunities for research collaboration between your job and your PhD.

Open and honest communication can go a long way in ensuring that both your work and academic responsibilities are managed effectively.

Leverage support systems

Pursuing a part-time PhD can be challenging, but you don’t have to do it alone. It is crucial to leverage the support systems available to you.

Reach out to your academic advisor or supervisor for guidance and support. They can provide valuable insights on managing your time, selecting courses, and balancing your academic and work commitments.

Additionally, consider joining or forming study groups with fellow part-time PhD students. Collaborating with others who are facing similar challenges can provide a sense of camaraderie and support. You can share study materials, discuss research ideas, and offer each other encouragement along the way.

Lastly, don’t forget about the support of your family and friends. Let them know about your academic journey and the challenges you may face. Their understanding and encouragement can help you stay motivated and focused on your goals.

Remember, pursuing a part-time PhD in computer science requires dedication, discipline, and effective time management. By staying organized, communicating your needs, and leveraging support systems, you can successfully navigate this exciting academic journey while maintaining a balance with your work and personal life.

Completion, Careers and Next Steps

Job prospects post-phd.

Completing a part-time PhD in computer science opens up a world of exciting job prospects. With a doctoral degree in this field, you are well-equipped to pursue highly specialized positions in both industry and academia.

The demand for computer science professionals continues to grow, and obtaining a PhD can give you a competitive edge in the job market. According to the Bureau of Labor Statistics, the employment of computer and information research scientists is projected to grow 15 percent from 2019 to 2029, much faster than the average for all occupations.

This means that there will be ample opportunities for individuals with advanced degrees in computer science.

Potential teaching and research roles

One of the key benefits of earning a PhD in computer science is the opportunity to pursue teaching and research roles. Many universities and research institutions are constantly seeking experts in the field to join their faculty and contribute to cutting-edge research.

As a PhD holder, you can become a professor, teaching and mentoring the next generation of computer scientists. Additionally, you can engage in research projects, pushing the boundaries of knowledge in the field and making significant contributions to the advancement of technology.

The opportunity to share your expertise and make a lasting impact in the academic community is truly rewarding.

Higher salaries and senior positions

Earning a PhD in computer science can also lead to higher salaries and senior positions. With the advanced knowledge and skills gained during your doctoral studies, you become a valuable asset to companies and organizations.

Employers often recognize the expertise and dedication required to complete a PhD, and are willing to offer higher salaries to attract and retain top talent. In addition, holding a doctoral degree can open doors to senior management and leadership positions, where you can have a greater influence on strategic decisions and shape the direction of the company.

According to a survey conducted by the National Association of Colleges and Employers, computer science PhD graduates earned an average starting salary of $123,000 in 2020, significantly higher than those with a bachelor’s or master’s degree.

While requiring diligence and time management skills, part-time computer science PhD programs make this high-level credential attainable for busy professionals. From strengthening your research abilities to opening new career doors, the long-term benefits of earning a PhD on a flexible schedule are immense.

If you’re willing to balance work, research, and coursework, a part-time CS PhD can help you achieve your pinnacle academic and career aspirations.

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If you're considering graduate school in Computer Science

Considering graduate school in Computer Science? A good place to start is to talk with one of your CS Profs that you know well. In the meantime, here are some general thoughts on graduate school in computer science.

Frequently Asked Questions About Graduate School

Why (or why not) grad school, how long does it take, what will i do after getting a ms or phd, should i work for a while between dartmouth and grad school, how do i pick a list of programs to apply to, how do i pay for grad school.

• What's important to someone evaluating your application

Hints about applying to grad school

• Reflect. Do some soul-searching. Why do you want to go to grad school? Think about your education so far. What are your passions? What are your goals in life? What excites you? What lifestyles might you want?
• Avoid listening to what others tell you to do; think about what you want.
• An MS is basically a technical degree that gives you more interesting job opportunities. A PhD is basically a research degree, which opens up a host of advanced and research-oriented opportunities.
• Think less about how much money you can make but about quality of life. With a PhD in particular, you will often find there is more autonomy, freedom, vacations, travel, influence, creativity, authority, etc. In industry, MS and PhDs are often a ticket to eventual upper-level management.
• Think more broadly than the major or course offerings at Dartmouth. There are other things - computer science, computer engineering, electrical engineering, computer information science, and even some very unusual special things at some places.
• Talk to professors. Discuss your ideas and goals, and get some advice. Talk to some grad students here and elsewhere. Find out what it's like. Talk to recent alum friends about what they've done, why, and how they like it.
• A PhD can be the ticket to jobs in academia, industry, and government, usually in some research or advanced development capacity, or in teaching at the college and graduate level. Or both teaching and research.

What people will want to know about your PhD work is your research. What's it about? How good is it? How likely is it that you will be able to continue being productive in your area?

• Do you like inquiry, invention, creativity, exploration, reading, discussion, writing, thinking, teaching, discovering the unknown, etc? Do you like to work with others, or independently? (Both are big aspects of research.) Do you like to tackle unstructured problems, or would you rather work on a task assigned to you? Do you prefer thinking up new ideas and sketching out the basic fundamentals, or do you like to deal with finishing the details on a project?
• You can always move after getting a Master's degree. Or take a Master's and run--to industry, or to another school.

4-6 years is typical for a PhD. It can take longer, however. I know folks who took 8 or more years for their PhD. 1-2 years is typical for an MS.

• The PhD is basically a research degree. Note that scientific research today does not fit the "lonely scientist" or "lonely hacker" image, either at the graduate or professional level. Scientists--and computer scientists are scientists--do work with people. This is obviously true for teaching, but research is essentially a collaborative exercise. Meeting people and talking to people is a big part of research.
• An MS is essentially a technical degree, especially useful when you are graduating from here with a liberal-arts BA. It will open up a range of much more interesting jobs than you can get with a BA, with more responsibility, creativity, flexibility, and income, than the typical programmer-type job. At least, sooner.
• Opportunities include academia, industry (research and/or development), and government (research labs).
• Postdoctoral appointments are becoming more common. In this case, after your PhD you go elsewhere for 1-2 years to do more research under a different advisor, in a different place, on a different project. Then you would go on to one of the above situations.

This is a very personal issue.

Advantages to working:

• It gives you valuable perspective in grad school.
• Sometimes the company will pay for your schooling.
• Gives you time to consider whether you want grad school at all.
• You can save up some money.

Disadvantages of working:

• You get used to the big fat paycheck, and it's hard to take a 75% pay cut.
• You get out of practice of "going to school".
• If you didn't take GRE as a senior, you forget a lot.
• If you did take GRE as a senior, the scores "expire" after a few years.
• Sometimes you lose "currency" if your job doesn't allow you to learn as you work.

So, if you really know you want grad school, go for it. Otherwise, you might consider working for 2-3 years, and then going to grad school.

• Choose the best programs that you can get into.
• Add 1-2 "safe" schools, that you are pretty sure you'll get into, but you wouldn't hate to be at. Remember that it is possible you'll get into some of your preferred choices, but maybe not with financial support. So, choose good schools, but ones that are perhaps less competitive.
• Pay no attention to the academic reputation of the university. It is essentially irrelevant. What matters is the reputation of the department (program) where you will be applying.
• Read their papers. Are you interested in their research?
• Find Dartmouth alums who are now students there; talk to them or find Dartmouth profs who were grad students there and talk to them.
• Student/faculty ratio.
• Success rate.
• Size of program.
• What will you learn there?
• What is required of you there?
• Who is doing interesting work there?
• Departmental dynamics...is there collaboration? Departments like this tend to be more congenial.
• Placement of recent PhDs.
• Look through journals in your area of interest; find out who is doing work in that area and where they are from.
• Talk to Dartmouth professors who are in the same general field as the one you are interested in. Discuss the schools you are considering. Ask them for suggestions. Ask them about particular professors and programs. They have connections, too, which might get you more information.
• Visit the campus. Tour the facilities. Talk to grad students, especially those who work with someone you're considering as a potential adviser. Try to get a feel for the atmosphere, the morale. This is more important than you realize. Consider things such as office space, library support, computing facilities, special research labs or computers, etc. These are important when you try to do research. Try to talk to the relevant professors. Consider the locale, and the cost of living.
• Big, famous schools are not necessarily better. In a big place you might have trouble standing out. Consider being a big fish in a small pond. On the other hand, small places can sometimes be somewhat limiting in terms of resources and variety.
• Many terminal-Master's programs (those where you are not planning to get a PhD, just a Master's) require you to pay tuition and fees. Note that many big companies will pay all this for their employees, sometimes on a part-time basis and sometimes as a year off for school, while still paying you that same huge salary! It's an option. (Same for PhD, too, though a part-time PhD takes forever!)
• Teaching assistantship (TA): You have to help run labs, tutor, grade, or even teach. First-year students rarely actually teach.
• Research assistantship (RA): You help a particular professor with their research, usually supported by a grant.
• Fellowship: This is the best. Usually this gives you all the money but with no teaching or research opportunities. Some schools do this for many of their first-year students, with the expectation that you will become a TA or RA in later years. A really good deal gives this to you for 3 or 4 or 5 years.
• Definitely plan to apply for third-party fellowships. Many require you to be a US Citizen, but not all. If you can get one of these, they often pay more, usually don't require any teaching or other duties, and you can call up the schools and tell them you have your own funds...which they are definitely psyched about. It also looks great on your resume in the future.
• One thing to know is that your guaranteed student loans (GSLs) are deferred (interest-free) so you don't have to pay them while you're a full-time student. So when you graduate from grad school, and have a big fat paycheck, and inflation has reduced your loans to a fraction of their former value, then you pay them off.

What's important to someone evaluating your application

• For most letters, you have a choice of whether to waive your right to see the letter. You should always waive this right. Yes, it may bother you greatly to waive any right, but think about it this way. If you do not waive this right, then your letter writers will not be able to write about you in confidence. Your letter readers will know this, and the letters about you will be discounted. In essence, the one subjective source of information on you has become worthless. So make sure you waive your right to see your letters.
• If you can, include something that makes you special, like a paper you wrote or the description of a programming project or the like. These "appendices" are perfectly fine and will often really make a big difference. Do not send a printout of code. But you might consider pointing to a cool program you wrote, say on github, if you really have something to show for it. Most people won't bother to try it, but they might if you make it easy for them.
• Test scores and grades are somewhat important; bad scores and grades are enough to keep you out, but great scores and grades are not enough to get you in.
• The essay is moderately important; in particular, it had better not be bad. The best essays somehow set you apart. Write your essay carefully, and rewrite it again and again. Tell them what research areas you are interested in, and why. Make it clear that you have a passion for research and would gladly charge through a machine-gun nest for the privilege of doing research. Tune the essay for each place you apply; tell them why you want to go there. Get the essay read over by someone else; make sure it is written really well. Sell yourself! Tell them what makes you unique. If you have written a research paper, or a major computer project, send them the paper (or documentation, if reasonable), perhaps after cleaning it up by making it even better.
• Start early: senior fall, or even junior summer.
• Write to lots of departments and request informational brochures and application materials.
• Take the GREs in October, or at least in December, and have the scores forwarded directly to the schools where you are applying.
• Request transcripts and have them directly forwarded.
• Send in your application well before the deadline.
• Follow up on everything. If you're using snail-mail, be paranoid.  (Who uses snail-mail anymore?) For example, send your application materials return-receipt-requested, and include a self-addressed, prestamped postcard that says "XXX university has received my materials", so that you know when they have arrived. Call them if you do not receive this. Especially: followup on faculty letters of recommendation (be tactful of course), regardless of whether they are submitted electronically or physically.
• Ask for your letters of recommendation early, October if you can. Go ahead and ask even before you have all the forms they will need, or even before you know the complete list of places you will apply. They can start writing the letter and then mail it when you give them the materials. Ask for the letters in person if possible - talk with the prof for a little while. (Make sure they remember who you are! Obviously, you want someone who really knows you well.)

Online PhD in Computer Science Guide | Salary & Requirements 2024

Phd in computer science overview.

The field of computer science has seen exponential growth in the last decade as web-based apps and media platforms continue to grow. An online Doctor of Philosophy (PhD) degree in Computer Science prepares graduates for some of the highest-paying positions in the nation with technology firms of varying sizes.  

As industries continue to adopt digital technologies, the demand for graduates with postsecondary degrees in the field of computer science remains steady. Businesses like Google and Microsoft continue to hire web developers, coders, and other computer science specialists to manage their web-based platforms/services. 

What Is Computer Science?

As a computer science professional, your job is to: 

• Observe, listen to, and communicate with clients
• Python, HTML, Java, C++ and more
• Offer strategies to ensure the functionality of web-based platforms
• Collaborate with UX specialists to ensure website functionality 

Depending on the industry or client, computer science specialists may work in-house or be contracted externally. 

What Can I Do With An Online PhD in Computer Science?

There are many viable career options for professionals with an online PhD in Computer Science. At tech corporations, start-ups, and in higher education, computer science professionals:

• Develop software
• Maintain data systems 
• Teach students coding theory
• Complete programmatic updates
• Maintain server security

Professionals with an online PhD in Computer Science provide in-demand services that continue to increase in value as countless entities adopt web-based platforms for business and internal use. 

Others who graduate with a PhD in Computer Science end up working in academia as a PhD satisfies minimum requirements for many colleges and universities. 

PhD in Computer Science Salaries and Career Outlook

Graduates with a PhD in Computer Science may pursue careers as:

• College Professors
• Computer Science Specialists
• Database Managers
• Research & Development 

Job growth in the computer science career field can vary depending on the position, and graduates should note that these statistics are reflections of the current job market that can fluctuate over time. 

Computer Science PhD Career Paths 

• Median Salary: $85,540 
• Career Outlook: +7% (2020-2030)

Professors that teach computer science at the university level conduct courses in coding, software design, and database management.

• Median Salary: $126,830 
• Career Outlook: +22% (2020-2030)

Professionals in this field to develop new software and improve on existing platforms to improve user experience and efficiency.

• Median Salary: $116,780 
• Career Outlook: +5% (2020-2030)

Network architects help organizations manage their local-area networks and wide-area networks.

• Median Salary: $110,140 

Software developers create computer programs/applications and work closely with UX specialists to provide iterative updates that address bugs/create efficiencies. 

Source: BLS

Earning A PhD in Computer Science

An online PhD in Computer Science typically takes between 4-5 years to complete. It’s always smart to research in-person and online formats to find the program that fits your schedule. 

Aspiring PhD students should consider admissions requirements, areas of specialization, and cost to ensure the program they choose fits their goals and lifestyle.

Pros And Cons Of PhD in Computer Science

Time, cost, and job placement are important factors to review when looking for a PhD program. Compared to a master’s degree in computer science, a PhD in Computer Science allows graduate students to gain access to higher-paying, upper-level positions in the tech and academic fields.

Due to the flexibility offered with an online program, doctoral students have the opportunity to complete their degree with sometimes little to no impact on their current day job.

Coursework In PhD in Computer Science Programs

Most classes included in computer science programs align with industry standards. Classes like Computer Languages, and Database Design, and Machine Learning provide students with a wide range of knowledge and skills to help them operate in a variety of roles post-graduation. 

Courses often include topics like data management, robotics, artificial intelligence, and software development. As a prerequisite to many of these classes, general knowledge of computer science and hardware can help students prepare for PhD-level coursework. 

Computer science graduate programs typically culminate in a research project. 

Skills Learned In PhD in Computer Science

With a PhD in Computer Science, graduates enter the workforce with a wide range of industry-specific skills. These programs build skills such as:

• Writing and improving code
• Website generation
• Advanced software engineering
• Communication
• Troubleshooting
• Operational functionality 
• Systems maintenance

How Long Does It Take To Get A PhD in Computer Science?

Some PhD programs take four years to complete, while others take up to five years. Most programs usually require 90 credit hours, including electives and the Teaching Assistantship requirement.

Factors that impact the length of a degree program include:

• Prior education (Master’s in Computer Science preferred)
• Accelerated course availability
• Synchronous vs asynchronous learning
• Part-time vs. full-time course loads

Choosing The Best PhD in Computer Science

There are many ways to earn a PhD in Computer Science. For example, you can choose to study online, in-person, or through a hybrid of both options. You may want to earn additional certifications and licenses, depending on your specialization or field of interest. This section explores the different options available for future computer science students. 

Online vs In-Person Graduate Degrees

Potential computer science PhD applicants have options depending on their current schedule and employment status. Applicants should be aware that there are many online programs to choose from. 

• Online learning offers flexibility, though on-campus learning can provide additional networking opportunities that may improve the job search post-graduation. 
• On-campus, students learn interpersonal skills that benefit them in professional settings. 
• If students choose to study online, this can be a great way to balance a job while completing the doctoral program. 

There is no right option between the two, though most doctoral students likely prefer one option over the other.

10 Best Schools With Degrees in Computer Science

• Massachusetts Institute of Technology
• Brown University
• Cornell University
• Stanford University
• Carnegie Mellon University
• Dartmouth College
• Columbia University in the City of New York
• University of Pennsylvania
• University of California – Berkeley
• Duke University

If you’re looking for other schools that offer online degrees in computer science, check out the Find Your Perfect “U” tool. You can search over 6,000 colleges and universities with 11 different filters to find the  perfect school for you !

How Long Does It Take To Complete An Online Course? 

Depending on the type of online course, student experiences can vary. If courses are taught synchronously, then students must attend online lectures and labs at set times. Hybrid courses offer a combination of online lectures and in-person lab time, ideal for students looking to acquire skills needed to work post-graduation. 

If a course is taught asynchronously, students can watch lectures and study with flexibility. Alternatively, certificate programs offer accelerated online courses that condense the subject matter into 3-6 week increments. 

Licensure and Certification

Many computer science positions prefer and potentially require applicants to have a license and/or certification (especially for PhD grads). Prospective students should be sure to research their intended job prospects to ensure they acquire the appropriate credentials depending on the region and type of position they may hold. 

Admissions Requirements 

The first step to applying to any program is to check the admissions requirements to confirm the prerequisite experience needed to qualify. Most information technology programs require:

• Proof of completion of a 4-year  bachelor’s degree  from a regionally accredited institution
• Minimum GPA requirements – These vary depending on the program
• Official Transcript
• GRE test score 
• Application fee
• Letter of Intent
• Letters of recommendation 

It is always a good idea to submit applications to schools with varying rates of acceptance. You should also diversify your application list and include schools with high and low rates of admission.  

Paying For A PhD in Computer Science

The cost of an  online PhD in Computer Science  varies depending on a range of factors. In-state tuition tends to be much cheaper than out-of-state, so be sure to apply to programs locally if cost is a determining factor. 

Online programs can be more cost-effective and accessible than in-person programs, providing applicants with options depending on their prior obligations. Some online programs also extend in-state tuition rates to all students regardless of where they live.

Lastly, colleges, universities, and organizations offer scholarships that are merit or need-based that can help minimize the financial impact of going to school.

Scholarships

There are  many scholarship  options for students in the field of computer science. Here are a few: 

• Generation Google Scholarship
• Richard E Merwin Student Scholarship
• IEEE Presidents Scholarship

Computer Science Career Resources

Online computer science phd faqs.

• Due to the web-based nature of the IT sector, pursuing an online PhD in Computer Science is a lucrative alternative to in-person education. Market projections for job growth and compensation are very positive. 
• Professionals with a PhD in Computer Science can expect to make upwards of $80,000 post-graduation, with some roles grossing up to $200,000 annually. 
• A PhD is a lengthy,  intense, and challenging ordeal. Potential applicants should think about the time and financial commitment before applying to a program. 
• After receiving a PhD in Computer Science, graduates can enter the workforce immediately at top tech firms, internally at fortune corporations, and in the academic field in a teaching capacity.  

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• Payscale.com
• https://upe.acm.org/
• https://www.computer.org/
• https://www.bls.gov/ooh/computer-and-information-technology/home.htm
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Let me first try to dispel the most commonly held myth, "Ph.D is a training to become an university professor". This is not true. If a professor graduates 5 phds in his lifetime, and if all of them get employed in academia, then the size of academia needs to increase five fold. However, this does not happen. The proportion of phds that join academia is not very large, and is definitely not the most preferred option or the last resort. Before delving into this issue further, we need to understand that a Ph.D is just not a degree. It is the training that is valuable than the actual "Dr." stamp itself. In a good Ph.D, it is exected that the candidate would have engaged in state of the art research. He or she would have understood deep research issues, and would have made a modest effort to solve a few problems. Furthermore, he would be used to putting long hours at work, solve extremely complicated problems, and handle frustrating situations with ease. These skills are just not required to be an academic, they are required in almost all other disciplines such as industrial R&D, finance, and public service. The addition of a Ph.D to a resume is two-fold: knowledge and skills. Any job can utilize either of these to different degrees. Let us look at the common career options. Traditionally, the most preferred jobs for Ph.Ds have been industrial R&D Labs, university positions, and start-ups. Industrial R&D facilities typically have large exclusive Ph.D-only groups. These groups engage in research, design new products, and also take part in long term strategy decisions. The average salary in an industrial R&D lab is much more than in pure development centers. In India, research lab salaries are about 50% more. This means that a person with a Ph.D joining a research lab at 27 years of age is significantly better paid than his classmate with 5 years of experience after B.Tech. Along with exclusive R&D labs, a lot of development centers hire Ph.Ds with more or less research lab salaries. They fit Ph.Ds in their hirearchy by hiring them in relatively senior positions as compared to their classmates who were hired directly after B.Tech. As per the author's estimate, Ph.Ds get a headstart of about 5 to 10 years. This has a significant bearing on the salary structure and the designation. Since the last ten years, the marriage between academia and start-ups is becoming stronger and stronger. There is a lot of movement between them in either direction. Secondly, start-ups have also become formidable engines of innovation. Consequently, a lot of Ph.Ds join start-ups directly, or join them after some years in academia. Sometimes, Ph.Ds join the university system after working for 5 to 10 years in a startup. They  bring in a lot of new ideas with them in the process. Another interesting trend has emerged in the last fifteen years. A disproportionate number of Ph.Ds in computer science are joining the finance and business consulting industries. Some of the jobs that they are hired for are analysts, consultants, and auditors. The finance industry uses their superior analytic capabilities and compensates them very well for the services that they render. Lastly, I should mention that academia has always been a favorite choice of Ph.Ds primarily because of the freedom. Salaries in academia in India have been rising steadily. Considering free accommodation, a permanent job, and all other perks, the salaries are now fairly competitive with industry. Secondly, it is also possible for Ph.Ds to pursue academic job opportunities in other countries also. This list is by no means exhaustive. It is just meant to elucidate the fact that a Ph.D is hired for his superior analytical skills, and for his power to solve complex problems. He has the choice of doing challenging jobs in his discipline or he can move other areas like finance if he so desires. Furthermore, the prevailing salaries in India and a large part of the western world are highly biased in favor of phds. Copyright (c) 2010. Smruti R. Sarangi. All rights reserved. Study Abroad Get upto 50% discount on Visa Fees Top Universities & Colleges Abroad Exams Top Courses Read College Reviews Admission Alerts 2024 Education Loan Institute (Counselling, Coaching and More) Ask a Question College Predictor Test Series Practice Questions Course Finder Scholarship All Courses B.Sc (Nursing) PhD in Computer Science: Admission, Syllabus, Topics, Colleges, Salary in India 2024 Waqar Niyazi Content Curator Ph.D. (Computer Science) - Latest Notifications 05 August, 2024 : IIT JAM 2025 Subject-wise Syllabus PDFs Available, Download Now. 03 August, 2024 : IIT JAM 2025 Application Form Out (Soon), Check Details Here. PhD in Computer Science is a 3-year long doctorate level course in computer science and its related aspects. Ph.D. in computer science topics of study include Research Methodology, Data Mining, Machine Learning, Rough Set Theory, etc. The minimum eligibility criteria for PhD in Computer Science Admissions is M.Phil in computer science or equivalent degree with 55% marks in aggregate. The fee for PhD in Computer Science across the course ranges from INR 10,000 to INR 2.75 Lacs across various PhD computer science colleges in India . The variation in the fee is based on the location and type of universities such as private, deemed, or government. PhD in Computer Science Quick Facts All About PhD in Computer Science 2.1   Why Study? 2.2   Who Should Study? Types of PhD in Computer Science 3.1   Full Time 3.2   Part-Time PhD in Computer Science Admission Process 4.1   Eligibility 4.2   Entrance Exams PhD in Computer Science Syllabus PhD in Computer Science Colleges in India 6.1   Delhi 6.2   Chennai 6.3   Bangalore 6.4   Pune PhD in Computer Science Abroad Phd in computer science jobs. 8.1   Salary 8.2   Top Recruiters PhD in Computer Science FAQs Course Level Postgraduate Level Full Form Doctor of Philosophy in Computer Science Diploma in Computer Science, Diploma in Computer Services, Diploma in Computer Studies Time Period 3 Years Fee Details INR 10,000-2,75,000 Eligibility Criteria Minimum of 55% marks in Post Graduation Admission Process Entrance Exam and Merit Based Starting Salary INR 2-5 LPA Job Opportunities University professor, Industrial R&D Lab professionals, Start-Up mentors, Authors, Senior research scientist and others. What is PhD in Computer Science? PhD in Computer Science is a 3-year long doctorate level course in computer science and its related aspects. Ph.D. in computer science topics of study include Research Methodology, Data Mining, Machine Learning, Rough Set Theory, etc.  Why Pursue a PhD in Computer Science? The area of application of computer science has seen exponential growth since the advent of the 21st century. The increasing growth and expansion of computer science have led to the growth of students opting for academic computer science courses in India to meet the employment demands. PhD in Computer Science provides a mechanism for the students to develop expertise in the subject by getting into the insight of the domain. Who should pursue a PhD in Computer? Students who have done M.Phil/Masters in the domain of computer science. Individuals who have an interest in software development. Candidates who are looking for a career as a web developer. Individuals looking for a career as a data miner. Types of PhD in Computer Science Courses Students can opt PhD in Computer Science as a regular course(Full time) or can go for Part-time depending upon their choice. Below we have discussed these two opportunities in a detailed manner. PhD in Computer Science Courses Full-time PhD in Computer Science is a 3-year long doctorate level course in computer science and its related aspects. PhD in computer science topics of study includes Research Methodology, Data Mining, Machine Learning, Rough Set Theory, etc. Individuals are required to take entrance exams to get admission into top colleges in India. In some colleges, admissions to Full-time PhD in computer science are also done based on a merit-list selection process, i.e., the percentage of marks obtained by the candidate at M.Phil or equivalent level. PhD in Computer Science Course Part-time PhD computer science is also offered as a part-time course by many institutes to students. This is very beneficial for those who want to pursue some work and want to get a degree. Indira Gandhi National Open University [IGNOU] is a popular university offering Ph.D. computer science as a part-time course. While pursuing a Ph.D. in computer science in distance learning mode, the course duration can go up to 5 years. Private universities like Lovely Professional University, Jalandhar also offer Ph.D. computer science in part-time mode. Most Universities/Colleges offer admission based on the score of CET (like UGC NET) or conduct their entrance test like entrance exams held for JNU admission into Ph.D. courses hence students would have to make an application for such exams. Students have to qualify for these exams (for which they should be eligible to appear) to get admission to the course. After the conduct of the test, a merit list of finally qualified candidates is prepared and candidates are invited for the admission process by the respective university or college. After preparation of the final merit list, the process of final allotment of seats to the candidate takes place and the candidate is asked to deposit the fee for Ph.D. in Computer Science course and register for the respective academic year. PhD in Computer Science Eligibility Candidates must have passed their M.Phil or equivalent level examination from a recognized state/private/deemed or central university with at least 55% marks (45% to 50% for reserved category candidates) in the respective domain of study. Students shall not be having any backlog or compartment in any of the subjects at M.Phil or equivalent level that is yet to be cleared at the time of taking admission. In the case of reserved category students, they would have to present their reservation certificates issued by the competent authorities to avail the benefits applicable to them. Certain Institutes grant admissions through Common Entrance Test (CET) like CSIR NET etc. PhD in Computer Science Entrance Exams Entrance Exam Registration Date Exam Date CSIR UGC NET 2nd week of March – 2nd week of April 2024 3rd week of June 2024 UGC NET December 2023 – January 2024 February 2024 – March 2024 September 5, 2023 – October 25, 2023 (Extended) February 11, 2024 March 2024 April 2024 March 2024 April 2024 The time duration of the course is variable from 3 to 5 years and the syllabus is divided into various domain-related subjects and practical/research modules. A detailed description of the topics in Computer Science is tabled below for your reference. Syllabus Research Methodology Data Mining Machine Learning Rough Set Theory Fuzzy Logic Simulation and modeling Web engineering Artificial intelligence Software architecture and testing Thesis report PhD Computer Science Colleges in India The top PhD Computer Science colleges across India have been discussed below along with their fee structure. Name of the College/Institute Average Fees (INR) 13,870 - 74,850 45,000 2,22,000 20,500 Name of the College/Institute Average Fees (INR) 1,195 19,670 16,000 41,000 40,000 Name of the College/Institute Average Fees (INR) 35,000 NA 72,000 1,19,000 73,200 Name of the College/Institute Average Fees (INR) NA 93,200 NA NA NA Studying a PhD in Computer Science abroad is probably the dream of the largest number of aspirants. But, most of the students fail to decide which would be the best college for them in a particular country. Here we have provided the names of the best colleges abroad to pursue PhD in Computer Science. College Name Fees INR34,000 INR30,000 INR25,000 College Name Fees INR 50,000 INR 62,000 INR 55,000 College Name Fees INR30,000 INR 20,000 INR 32,000 College Name Fees INR 20,000 INR 7,00,000 INR 15,00,000 College Name Fees INR 16,000 INR 14,000 INR 15,000 College Name Fees INR 28,000 INR 16,000 INR 15,000 College Name Fees INR 2,00,000 INR 13,00,000 For those with a computer science major, career opportunities tend to be plentiful. Job Profiles Job Description Average Annual Salary(INR) Software Engineer Software developers are the creative minds behind computer programs. Some develop applications that allow people to do specific tasks on a computer or another device. Others develop the underlying systems that run the devices or that control networks. 4-5 LPA Application Developer Application analysts are responsible for the administration, monitoring, and maintenance of software infrastructures and applications. 3-4 LPA Application Analyst Application analysts are responsible for the administration, monitoring, and maintenance of software infrastructures and applications. 3.5-4.5 LPA Data administrator Responsibility as a database administrator (DBA) will be the performance, integrity, and security of a database and involved in the planning and development of the database, as well as in troubleshooting any issues on behalf of the users. 4-5 LPA Professor Teaches Computer and Information Sciences, develops and designs curriculum plans to foster student learning and ensures student engagement. 4-5 LPA PhD in Computer Science Salary Specializations Average Fees (INR) Hardware engineer INR 2.75-3.35 Lacs Information research scientist INR 3.14-3.48 Lacs Software developer INR 3.8-4.10 Lacs Website developer INR 2.94-3.46 Lacs Network engineer INR 3.16-3.32 Lacs Top Recruiters Google Microsoft Tata Institute of Fundamental Research IBM Adobe Bosch NITs, IITs, VITs, & BITS Accenture PhD Computer Science FAQs Ques. What can I do after PhD Computer Science? Ans . You can get into various educational institutions to work as a professor or get into any Tech Company. If tech makes you curious you can continue your personal research on Computer Science. Ques. How hard is a PhD in Computer Science? Ans . While most PhDs are completed in four to five years, a few go on for a decade or more. Your dissertation work will most likely be in a very specific area, so you'll need the perseverance to keep going when things get boring and the endurance to complete a long and extraordinarily difficult task. Ques. Why should I pursue a PhD in Computer Science? Ans. A PhD will help you become an independent thinker in a niche topic first and then enable you to generalize that to almost all avenues, making you a very desirable employee. Ques. Is Ph.D. Mandatory to be a Computer Programmer? Ans. A PhD is not required if you wish to be a computer programmer. A Bachelor's degree in Computer Science or Software Engineering is the requirement at most companies. Either of those degrees will give you the foundation necessary to understand programming at a deeper level and prepare you to start a career in the industry. Ques. Is pursuing or practicing a PhD free in the US? Ans. Most of the PhD programs are almost free in the US. The best part is that they pay you while you are there. Ques. What to do after PhD? Ans. PhD is the highest degree till now in Indian academia, so you can go for various types of research jobs. Most Popular Tags 11 Reviews found Ashoka University SONIPAT Loan/ scholarship provisions. The fee for PhD is 50000 per month around it is 500000-600000 lakh for PHD in this University . The opportunity for scholarship in this University is not so good . The students have to go to schools near the university for some time by college Course Curriculum Overview All the students are very familiar with each other .the teachers are also very great . The teachers are very helpful to students. I think that at someplace change should be needed for students . At the all this University is good My dream university, IIT Bhubneshwar. My PhD program helped me to develop my research capability. I was groomed to be a future leader in research and innovation. The professors were actively engaged in cutting-edge research areas that include communication, signal processing, Microelectronics and semiconductor devices, Power systems, Renewable energy systems, Computer Vision, and Human-Computer interfaces. I even managed to gain immediate, hands-on experience which helped me to overcome my challenges. Placement Experience My alumni found full-time and internship positions with a wide range of international employers, including Adobe, Amazon, Infosys, HCL, Jindal Stainless Ltd, IOCL, Capgemini, KIIT, ISRO, Cognizant, DELL, Microsoft, Thermax, UHG, Flytxt Mobile Solutions, and TATA Steel. The packages offered were around Rs.1500,000 yearly. Student's Review On Indira Gandhi National Open University - [IGNOU], New Delhi All the teachers in our college are good and they help all the students.The fee structure of the college forCourses is quite feasible as per the needs and demand of the course. Hence, it will not be wrong to say that the fees is affordable as per the education and facilities provided by the institution. College Events There some functions are organised by college management each year.College management give equal importance to sports and some other extra curricular activities.The college have a clean library where each book is available for students. Collectively,i want to tell that this college is the best. Campus Life The gender ratio is 1:2 Boys and girls, the college is basically provides all lab, sports facilities and each division are good at their level as per their criteria and norms. The boys and girls equally participate in each activities and Indulge in various national, state, international level tournaments. HCl, zoho, Tata consultancy, ashok Leyland, Bharath Benz, Bsnl, cognizant, metro rail etc are the regular placement companies visit the campus regularly. 95% ofthe students gets placed every year. Yea the college take special care for placement of students and gives training and lecture session. Student's Review On Delhi University - [DU], New Delhi Life is pretty good here. We conduct 4-5 events yearly for students interaction with both the seniors and the alumni. And these events vary, like technical events- Annual festival and hackathons to non tenchnical events like- skits, diwali party, fresher's, farewell, holi party, DJ nights. Recently we went on a trek also. Overall, life is happening here and the environment is good for overall personality development of an individual. I think the syllabus is updated and up to the mark, professors are quite good and experts in their respective fields. In terms of practical knowledge and infrastructure- like machines, servers- I think we should do better, being computer science department. Prof. Neelima gupta is the chair person right now, I ma working under her. I think she is doing wonderful job and we will see department doing better in coming 1 or 2 year. Amazing college The college was beautifully constructed and had students coming from different backgrounds and cultures. They all were friendly to each other and had a good environment at the college. Activities like sports, music, dance, theatre were conducted by various student firms and we all could participate. The jobs are available at the campus where well-known organisations and companies also came to interview. We could also apply to the college?s campus as a teacher, Dell, Intel came to interview. Almost all of the students got placed with an average package of Rs.15 lakhs Per annum. My experiences in NITTTR The course curriculum is pretty chilled out. The class is more student focused and works towards creating an environment that students use for knowledge rather than just knowing a lot of things. The curriculum also prepares students for anything in the industry. Students are required to participate in various activities and workshops. On top of that students are allowed to work part-time as consultants to outside companies. There are many sports activities the students can participate in if they are interested. National Institute of Technical Teachers Training and Research Review The faculty of my course and others were brilliantly intelligent and considerate. They would know when to rush to complete the portion and when to keep us stress-free. They never put burden on us. They would always say that a clear mind could do better than a stressed one. Job placements were pretty easy after this course was completed in any industry or educational institution for almost all of us, because we already had atleast one year experience of teaching/working in industry. This was a beneficial add-on training. The Hub For Carreer The institute is extremely great and is exceptionally strict with regard to teach. It is likewise agreeable with its understudies and causes them in each issue. It likewise directs different social exercises to include understudies in concentrates as well as in different viewpoints. Fee Structure And Facilities I can say it’s worth it to pay each penny to the management with the facilities they provide. With all the lab facilities, job opportunities, training given here it’s really feasible when compared to others. They assure you that you will be benefited from each penny you pay. Confronting smart people Well we cannot openly comment on any faculty as far as I know. But still going vaguely over this matter, I can state that, the Good and Bad are everywhere. One can get to know people who are excellent in academics or research or both, while some are in none. It is up to an individual as to how he/she can use these resource (here Faculties) and to what extent. One thing I can say is that, especially in an IIT, every individual Faculty or Student wants to stand out, be that special one. It is only in the hands of each one as to how far you make the effort to work everything out. Getting into PhD in IIT Indore requires a written exam (after your name is on the eligible list), followed by 1-3 face-to-face interviews (depending on your luck I guess) on the same day most of the time. When they are satisfied by your credentials and previous work done, they let you know in a couple of weeks if you are selected. The same is listed on the college website, so you know if you have been rejected. Shreyas J's Review On University Visvesvaraya College Of Engineering - [UVCE], Bangalore Entrance preview. University entrance exam, Rank 21 Because of its popularity and good guide, it is 100 years old college, hence i have selected this college/university to purse my higher education. College celebrated many fest like kagada fest , milagro fest, IEEE event and many more is celebrated in my college. Ph.D. (Chemistry) Ph.d. (physics), ph.d. (mathematics), ph.d. (biotechnology), ph.d. (zoology), bachelor of arts [ba], ph.d. (business management), master of science [ms], master of science [m.sc] (nursing), certificate course in stock market, bachelor of science [b.sc] (nautical science), ph.d. (computer science), master of laws [l.l.m.], diploma in web designing, master of technology [m.tech] (data analytics), ph.d. (computer science) colleges in india. Jamia Millia Islamia University-[JMI] Banaras Hindu University - [BHU] Anna University - [AU] Panjab University - [PU] Acharya Nagarjuna University - [ANU] Jawaharlal Nehru University - [JNU] Presidency College Ramakrishna Mission Residential College - [RKMRC] Subscribe to our news letter. Career Prospects After Ph.D. In Computer Science Blog / June 22, 2023 The modern world runs on machines, computers, and technology. Thinking of life without either of them is almost impossible. In such a fast-paced world, having a nuanced understanding of the subject is critical. Computer Science is one of the most pursued fields in today’s time. While many settle for a B.Tech or an M.Tech, considering they also help you get higher-paying jobs, many prefer going for the research degree— Ph.D. Computer Science. Ph.D. in Computer Science can be completed in three to five years depending on the academic rigor of candidates, that is, how fast they finish the research and doctoral thesis. Usually, students decide on their research area and faculty advisor within the first year while doing course work. Then, upon clearing the requirements and accepting their thesis proposal, the student works on it. Ph.D. eligibility is  ME/M.Tech. in CSE or equivalent in the relevant discipline from a recognised Technical Institute or University with 60% marks or 6.5 CGPA in the qualifying degree or MCA/M.Sc.(CS/IT/ECE/Mathematics/Physics/Statistics/Operational Research) with outstanding academic credentials. The selection process at SNU for  Ph.D. admissions is Shortlisted candidates will appear for an online written test followed by an interview Past academic records, written examination and the interview, will be a prime determinant Relevant GATE/ UGC-NET score for M.Sc./MCA candidates for full-time Ph.D. program for assistantship but is optional for M.Tech candidates Relevant GATE/ UGC-NET score should be in the areas of Computer Science and Information Technology, Engineering Sciences, Mathematics, Statistics, Electronics and Communication Engineering and Electrical Engineering Significance of Ph.D. in Computer Science Computer Science technology is growing speedily and touching every area, making research in software technology fascinating than other areas of science and technology.  From introducing a new programming language to bringing a new pattern or methodology and releasing a new piece of open-source software, Computer Science comes across varied advancements each day. Ph.D. in Computer Science is the degree that takes you to the foreground of revolutionary technology. It is a rewarding program as it trains you to research, develop, and innovate discoveries for the Digi-Tech world. The doctorate program enables you to put innovative input into projects, be independent, design and implement product changes. Thus, the doctorate program in software science proves to be a lucrative career choice for students who desire to be at the forefront of the Digital Arena. Career prospect Everyone has a mindset that a Ph.D. graduate can only go for the teaching profession or perhaps carry out research at a university. However, Ph.D. has a more extensive scope than that. A Ph.D. degree holder has numerous other business,  government, and nongovernmental organisations. A Ph.D. in Computer Science is an excellent opportunity to dive deep and get the best out of programmed technology. Furthermore, the program offers a rewarding  career path to the graduates such as: Computer Scientist Computer System Engineer Computer Science Professor Computer Network Architect Research and development professional Security Architect Computer Systems Administrator Data Modeler Why does the choice of institute matter when thinking of pursuing a Ph.D.? Though numerous colleges/universities in India will help you get the degree, only a few help you get an edge. One such university is Shiv Nadar University. Its Ph.D. program prepares students for advantageous careers in academia and research labs. The research interests of the current faculty members at SNU in the Computer Science and Engineering department are: Theoretical Computer Science Data Science and Engineering Artificial Intelligence and Machine Learning Modeling and Simulation Security and Privacy Wireless, Mobile Computing and Networking If you desire to learn and experiment and dream about making a significant difference in the tech-driven world, then a Ph.D in Computer Science is the best course to take you closer to your supreme goals. Shiv Nadar University is a multidisciplinary, research-focused, and student-centric University offering a full range of academic programs. The University aims to become internationally recognised for the quality of its research and creative endeavors. The University also envisages making a mark in the global education scenario, generating new insights, and expanding the boundaries of human knowledge. It is imperative to build a solid foundation to reap its benefits for your entire life, and only a university with multiple credibilities gets you that. Shiv Nadar University is that place for all the young seekers who want to make a difference in their lives and the world. Stack Exchange Network Stack Exchange network consists of 183 Q&A communities including Stack Overflow , the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Q&A for work Connect and share knowledge within a single location that is structured and easy to search. Is it possible to do a masters in CS and a PhD in physics at the same time? I’m a freshman in college and I’m a non-traditional student. I’m 45 years old with no previous degree other than high school here in the US. After college, I want to pursue a Ph.D. in physics, however, I want to get a master's in computer science as well. I’m double majoring in both as an undergrad. graduate-school computer-science 2 why? are money a concern for you or not? –  EarlGrey Commented Oct 11, 2023 at 6:37 6 The fact that you are capable of pursuing both at the undergrad level does not really translate into being capable of pursuing both at a graduate level. You will be better positioned to judge this for yourself once you have taken some graduate level courses (which you should be able to do during your undergraduate studies). Right now this seems like a bit of a premature concern. PhD studies are not "undergraduate studies, but more advanced", they are a whole another beast entirely. –  Adam Přenosil Commented Oct 11, 2023 at 12:10 7 Answers 7 Why don't you go after an interdisciplinary PhD that will combine Computer Science and Physics? There are so many topics to be explored such as complexity/network theory in physics, and machine learning applications in physics. You can also work on smart algorithms that filter data from large experiments in particle physics, neutron physics, condensed matter physics, etc. You can work on computational physics problems in nuclear physics, atomic theory, fluid dynamics, etc. It would be useful to know your specific interests in Physics and Computer Science. However, in my opinion, most physics research nowadays is conducted on computers. There are 24 hours in a day. The MS in computer science will require ~8 hours of that, and the PhD in physics will also require ~8 hours of that. Since there's no way to add more hours to a day, this will only work if: You work more hours a day than most people would be comfortable with. You could conceivably do this, but there's a high chance of burnout. You take longer than normal to complete both programs (e.g. by doing both of them part-time). 9 Writing that a PhD takes only 8 hours a day is well below what the typical student actually uses and makes this sound a lot more feasible that it really is. –  quarague Commented Oct 11, 2023 at 7:03 2 @quarague: not necessarily. Most students only take that long since they have never learned how to structure work efficiently and make it goal oriented. If I had to do my Ph.D. again, I'd could do it in a 3rd of the time and still hold down a full time job on the side. That was one of my key eye openers when changing from academia to industry. So if the OP has relevant project managements experiences from the real world, this may indeed be possible. –  Hilmar Commented Oct 11, 2023 at 19:05 3 I disagree with that assessment. Research is really damn hard, especially in more theoretical fields. There are a lot of fruitless hours spent reading paper after paper and textbook after textbook during a PhD. That wastage decreases over time as students learn how to do research better, but early on it is a real fight. –  Cameron Williams Commented Oct 14, 2023 at 0:19 In fact, I know of someone who did a PhD in physics and also completed a master's in electrical engineering along the way. I didn't know her personally because she finished a few years before I joined, but it didn't sound like my advisor thought that was a very good gesture. I don't know how she did it, but she didn't stay in academia. She opted to pursue a more financially lucrative route with the EE master's, I believe. However, she was pretty accomplished based on the papers she had authored. I personally wouldn't recommend it because you have to be a uniquely capable individual and because you will probably somewhat lightly torch some political bridges by double dipping in that way. Yes, it is possible depending on the rules of the university. The university where I did my PhD allowed graduate students to add masters degree's within the same college. One person in my Physics PhD program took one CS class per semester for the duration of the PhD and completed the MS and PhD in the same semester. "Possible" here has at least two connotations. Will any university let me do it? Can it be done? For the first, you'd have to ask individual universities. For the second ... well, not for most people. John von Neumann got a BA in engineering and a PhD in mathematics at the same time at two different universities, but JVN was one of the great geniuses of the 20th century and was also famous for working faster than anyone on the planet. For the vast majority of people (usually very bright people) getting either of these degrees would be a more than full time task. You might find places where you could do both part time. Finally, you are a freshman returning to school. Good for you. But, first figure out college. Then see. You won't be applying to grad school for a while. It is very much possible. A master's degree in CS is just choosing one specialization field from your undergrad and doing further study. Since you are double majoring in CS and physics, you have the necessary backgrounds in both. So, I don't see why you cannot do that. However, I want to point out that you should do some introspection regarding your decision. Think again if it is justified to take all that pain at this stage in your life. Regardless of possibility, I I think such an effort would be futile. Do you want to be a physicist? If yes, then you don't need to do a CS Masters. You will learn what ever CS knowledge you need during the course of your PhD. A PhD necessarily involves a lot of self study, and some of that could be learning CS material. If no, then the PhD in physics is pointless. A PhD trains you to be a researcher in that field. It's not just classes and book-knowledge but is where you do your own research. So if you don't want to be a physicist, your financial and mental health will be better off if you get straight into whatever you do want to do. Most of the reasons for doing a Masters, like boosting your admission prospects or preparing to start a PhD, don't apply if you do them simultaneously. I understand the FOMO of knowledge and the feeling of wanting to be an expert in everything. But at some point you need to qddeot that you can't specialize in everything, and trust your ability to self study (or at least informally study) the new things you want or need to learn. You must log in to answer this question. Not the answer you're looking for browse other questions tagged phd graduate-school masters computer-science physics .. Featured on Meta Introducing an accessibility dashboard and some upcoming changes to display... We've made changes to our Terms of Service & Privacy Policy - July 2024 Announcing a change to the data-dump process Hot Network Questions Normal text and cases Is inner speech a quale? In Europe, are you allowed to enter an intersection on red light in order to allow emergency vehicles to pass? How do I rigorously compute probabilities over infinite sequences of coin flips? Does wisdom come with age? How would a creature adverse to solar energy (ie, a wraith) get energy and what would it do with it? A funny Fantasy short story about a telekinetic who loses his power when he thinks about it Can a train/elevator be feasible for scaling huge mountains (modern technology)? Refereeing papers by people you are very close to Why is the Y-capacitor named so? How much does flight help the ranger? Can a Hall sensor be tested with just basic test gear? How to use Mathematica to plot following helix solid geometry? Emphasizing the decreasing condition in the Integral Test or in the AST (in Calculus II): is it worth the time? Delexing a finitely complete category Statistically, which is more of a severe penalty on a d20 roll, Disadvantage or a -10 penalty? Strategies for handling Maternity leave the last two weeks of the semester When can a citizen's arrest of an Interpol fugitive be legal in Washington D.C.? Definition of a pole in Riemann sphere How to find a simplified sinogram in a paper dictionary Cycloheptatrienyl anion is antiaromatic or non-aromatic? SSH connectivity issues between local server and remote server Which Boolean Math mode should I use? What does "No camping 10-21" mean? Computer Science (4 Year Programme) MPhil/PhD London, Bloomsbury The PhD programme in UCL Computer Science is a 4-year programme, in which you will work within research groups on important and challenging problems in the development of computer science. We have research groups that cover many of the leading-edge topics in computer science , and you will be supervised by academics at the very forefront of their field. UK tuition fees (2024/25) Overseas tuition fees (2024/25), programme starts, applications accepted. Entry requirements A UK Master's degree in a relevant discipline with Merit, or a minimum of an upper second-class UK Bachelor's degree in a relevant discipline, or an overseas qualification of an equivalent standard. Work experience may also be taken into account. The English language level for this programme is: Level 1 UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. Further information can be found on our English language requirements page. If you are intending to apply for a time-limited visa to complete your UCL studies (e.g., Student visa, Skilled worker visa, PBS dependant visa etc.) you may be required to obtain ATAS clearance . This will be confirmed to you if you obtain an offer of a place. Please note that ATAS processing times can take up to six months, so we recommend you consider these timelines when submitting your application to UCL. Equivalent qualifications Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website . International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice. About this degree On this PhD programme, you will work within research groups on challenging computer science projects. Our research groups cover leading-edge topics , and our academics are at the forefront of their field. The research groups, the department , and the college, provide numerous opportunities to learn more about your field and the skills required to develop your research and future careers. Who this course is for This programme is best suited for people wishing to embark on an academic career, as well as those interested in finding work in industry. You will be assigned a first and second supervisor, who will guide you in the development of your research project and your abilities as a researcher. The research groups, the department, and the college, provide numerous opportunities for you to learn more about your field (e.g. seminars, conferences, and journal clubs) and the skills required for you to develop your research and future careers (e.g. training courses). Many of our students have had their research results published and recognised at leading international conferences during their time on the PhD programme. What this course will give you UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world's best universities. UCL Computer Science is recognised as a world leader in teaching and research. The department was ranked first in England and second in the UK for research power in Computer Science and Informatics in the most recent Research Excellence Framework ( REF2021 ). You will learn from leading experts with an outstanding reputation in the field.  Code written at UCL is used across all 3G mobile networks for instant messaging and videoconferencing; medical image computing has led to faster prostate cancer diagnosis and has developed tools to help neurosurgeons avoid damaging essential communication pathways during brain surgery; and our human-centred approach to computer security has transformed the UK government's delivery of online security. This MPhil/PhD in Computer Science is a research degree programme that will not only challenge and stimulate you, but also has the potential to lead to a varied and interesting career and introduce you to valuable contacts in academia and the industry. The foundation of your career Your employability will be greatly enhanced by working alongside world-leading researchers in cutting-edge research areas such as virtual environments, networked systems, human-computer interaction and financial computing. UCL's approach is multi-disciplinary and UCL Computer Science shares ideas and resources from across all departments of Faculty of Engineering Sciences and beyond. Our alumni have a successful record of finding work, or have founded their own successful start-up companies, because they have an excellent understanding of the current questions which face industry and have the skills and the experience to market innovative solutions. Employability UCL Computer Science graduates secure careers in a variety of organisations, including global IT consultancies, City banks and specialist companies in manufacturing industries. The department takes pride in helping students in their career choices and offers placements and internships with numerous start-up technology companies, including those on Silicon Roundabout, world-leading companies such as Google, Skype and Facebook, and multi national finance companies, including Morgan Stanley, Deutsche Bank and JP Morgan. Our graduates secure roles such as applications developers, information systems managers, IT consultants, multimedia programmers, software engineers and systems analysts in companies such as Microsoft, Cisco, Bloomberg, PwC and IBM. UCL Computer Science is located in the heart of London and subsequently has strong links with industry. You will have regular opportunities to undertake internships at world-leading research organisations. We frequently welcome industry executives to observe your project presentations, and we host networking events with technology entrepreneurs. You will also benefit from a location close to the City of London and Canary Wharf to work on projects with leading global financial companies. London is also home to numerous technology communities, for example the Graduate Developer Community, who meet regularly and provide mentors for students interested in finding developer roles when they graduate. Teaching and learning You are assigned a first and second supervisor who you will meet regularly. You are also assigned a research group who normally meet regularly for research seminars and related activities in the department. You will participate in three vivas during the course of your study. These are useful feedback opportunities and allow you to demonstrate your understanding of the literature, your progress in your research and eventually, your final thesis and research. For each viva, you will be expected to produce a detailed report of your work to date and to attend a 'verbal exam' with supervisors and/or external academics/experts. During your research degree, you will have regular meetings with your primary supervisor, in addition to contact with your secondary supervisor and participation in group meetings. Full-time study should comprise of 40 hours per week . Research areas and structure Bioinformatics: protein structure; genome analysis; transmembrane protein modelling; de novo protein design methods; exploiting grid technology; mathematical modelling of biological processes Financial computing: software engineering; computational statistics and machine learning; mathematical modelling Human centred systems: usability of security and multimedia systems; making sense of information; human error and cognitive resilience Information security: human and organisational aspects of security; privacy-enhancing technologies; cryptography and cryptocurrencies; cybersecurity in public policy and international relations; systems security and cybercrime Intelligent systems: knowledge representation and reasoning; machine learning Media futures: digital rights management; information retrieval; computational social science; recommender systems Networks: internet architecture; protocols; mobile networked systems; applications and evolution; high-speed networking Programming Principles, Verification and Logic’: logic and the semantics of programs; automated tools for verification and program analysis; produce mathematically rigorous concepts and techniques that aid in the construction and analysis of computer systems; applied logic outreach in AI, security, biology, economics Software systems engineering: requirements engineering; software architecture; middleware technologies; distributed systems; software tools and environments; mobile computing Virtual environments: presence, virtual characters; interaction; rendering; mixed reality Vision and imaging science: face recognition; medical image analysis; statistical modelling of colour information; inverse problems and building mathematical models for augmented reality; diffusion tensor imaging Research environment UCL Computer Science is one of the leading university centres for computer science research in Europe. The department is very well-connected with research groups across the university, and is involved in many exciting multi-disciplinary research projects. Furthermore, research groups in the department are heavily involved in collaborative research and development projects with other universities and with companies in the UK and internationally. UCL provides significant support for technology transfer, and in particular for technology start-ups, and the department has an increasingly successful record of spin-out companies including a number of spin-outs that have been acquired by Google, Facebook, Amazon, etc. Month 0 Registration - initially MPhil registration. Month 0-6 - General reading, directed by the supervisor, in the area of interest. This should bring you up to the sharp end of the area and allow you to appreciate what the research problems are. Months 6-9 - More detailed reading, aimed at becoming expert enough to tackle a thesis project. A small focused project is in order here to pin the reading on. A report on the year's activities should begin to be prepared. Month 9 - FORMAL 1ST-YEAR VIVA (10-12 for Part-time) This is the first major examination, and must take place no more than 9 months from the start date. A feedback activity. Given a read of your report, the supervisor, 2nd supervisor and an 'assessor' review the work done with the aim of providing you with proper feedback on your work. This is also a good opportunity to get feedback for the Transfer Viva and is often used as a “mock transfer”. Months 12-18 - FORMAL TRANSFER VIVA (15-21 for Part-time) Also known as the “Upgrade Viva” - this is where you would upgrade your expected qualification from MPhil to PhD. A substantial project report is expected demonstrating the ability to conduct research, with initial research results, and a plan for completion of the work and writing of the thesis. The outcome of the viva will determine whether you are allowed to transfer registration from MPhil to PhD. Months 24-36 - Thesis project work being tidied up and turned into a unified piece of work. Thesis writing being planned and chapters being drafted. You are now eligible for Completing Research Status Month 36 - MOCK VIVA (48-60 for Part-time) A draft thesis and mock viva. This is to be attended by the supervisor, second supervisor and assessor and any others thought relevant. Thesis submission forms (aka Entry forms) completed and submitted. Months 36-42 - Complete the writing of the thesis. Month 42 - (60-72 for Part-time) Submit thesis. See full-time summary Accessibility Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support and Wellbeing team . Fees and funding Fees for this course. Fee description Full-time Part-time Tuition fees (2024/25) £6,035 £3,015 Tuition fees (2024/25) £31,100 £15,550 The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees . Additional costs As each research project is unique in nature, the AFE (Additional Fee Element) is calculated on a student-by-student basis and is determined by your academic supervisor. Please contact your supervisor for further details. A student conference and travel fund is available to students within the department to help with costs associated with attending and presenting at conferences. Applications are considered on a case-by-case basis. For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs . Funding your studies UCL offers various funding opportunities for postgraduate students. Please see UCL's Scholarships website for more information. The department offers funding for overseas and UK students. Please see the Computer Science website for more information. Home students will have the opportunity to apply for EPSRC DTP Studentships where available. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website . CSC-UCL Joint Research Scholarship Value: Fees, maintenance and travel (Duration of programme) Criteria Based on academic merit Eligibility: EU, Overseas Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. All applicants are asked to identify and contact potential supervisors before making an application. For more information see our How to apply page. Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle. Choose your programme Please read the Application Guidance before proceeding with your application. Year of entry: 2024-2025 Got questions get in touch. Computer Science [email protected] UCL is regulated by the Office for Students . Prospective Students Graduate Graduate degrees Taught degrees Taught Degrees Applying for Graduate Taught Study at UCL Research degrees Research Degrees Funded Research Opportunities Doctoral School Funded Doctoral Training Programmes Applying for Graduate Research Study at UCL Teacher training Teacher Training Early Years PGCE programmes Primary PGCE programmes Secondary PGCE programmes Further Education PGCE programme How to apply The IOE approach Teacher training in the heart of London Why choose UCL? Entrepreneurship Inspiring facilities and resources Careers and employability Your global alumni community Your wellbeing Postgraduate Students' Association Your life in London Accommodation Funding your Master's Menu  Close  Search  PhD Program Admissions Applying to our PhD Program We’re thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here. Our program accepts a large number of applicants each year from a diverse range of backgrounds. Our applicants come directly from undergraduate or master’s programs, as well as industry positions, and from within United States and numerous countries around the world. Visit the interactive PhD program statistics page   to view historical program data pertaining to admissions, enrollment, retention/attrition/completion, and time to degree conferral. (Select “ Computer Science” from the “Choose Program” drop-down menu.) Ready to start your PhD application? We’re ready for you. Click on the link below to start your application to become a PhD student at Johns Hopkins University The Application: General Advice The most important question we ask when reviewing applications is "Will this individual excel at research?" Every part of your application is helpful insofar as it answers this question. The three major components of an application are the statement, letters of recommendation, and grades. This is one of the most important parts of your application; it lets us get to know you and creates a narrative of your academic career and future plans. Before you write your statement, start by thinking about what you want us to learn about you. Make a list of important achievements, perspectives, and goals. Build your statement around this list. We are looking for students who have made the most of the opportunities they have been presented with and who are smart, creative, and motivated. Keep in mind that we also have your CV and letters of recommendation, so we don’t necessarily need a list of all your accomplishments. However, your statement can fill in the narrative around what you did and, more specifically, why you did it. What motivates you? What are your research interests and why? These details aren’t found elsewhere in your application, so focus on them in your statement. There are a few things we suggest not including in your statement. While it’s tempting to give a rationale for why you are applying to our program, don’t include it if it’s uninformed. Consider: “I want to apply to Johns Hopkins because it’s one of the premiere academic programs.” We know that already! If you do have specific reasons to be interested in our program (e.g. location, a specific project, a faculty member, etc.), be sure to mention them. In terms of your motivation, be specific! Don’t write: “I’ve wanted to do a PhD in CS since I was six years old.” We don’t trust that six-year-olds make good career decisions. If you write “I have always found AREA X fascinating,” explain why. Letters of Recommendation The two most important factors of a recommendation letter are: 1) select someone who knows you well, and 2) select someone who knows how to write a letter. First, it’s tempting to ask Professor X. to write a letter for you because they are a well-known person in the field. While we can better contextualize letters from people we know, it’s only helpful if the letter contains meaningful information. If Professor X. writes, “I’ve met the applicant a few times and they seem sharp,” that’s not useful information. It’s more important to select someone who knows you well and can discuss your achievements in detail. Second, your letter writer should know how to write a letter. Academic research programs look for different things than a company. We often read letters from work supervisors that say nice things, but don’t speak to the qualities we find most important. Of course, it’s a balance. You want someone who knows you well, but they still need to know how to write a good letter of recommendation. We understand that three letters are a lot, especially for an undergraduate applying directly to a PhD program. We don’t expect each candidate to have three amazing letters. Your choices should be about balance: you want people who know you well, can write good academic letters, and know the research field. Use your choice of your three letter-writers to create this balance. There isn’t much you can do about your grades—you have the grades you have. However, we do not use any grade cutoffs or thresholds in admissions. We want to see that you did well and excelled in whatever program you were in. Did you push yourself to take upper-level classes? Did you do well in the classes most directly related to your research area? If you have special circumstances that explain some of your grades, please include a description of them in your statement. The Whiting School of Engineering does not require GRE General Test scores for applications to our PhD programs. TOEFL or IELTS Non-native English speakers must take the TOEFL or IELTS exams. Details on accepted exams, scores, and exceptions to this requirement can be found here . Application Tips There are many helpful guides for PhD applications. Here are a few we recommend: How to be a Successful PhD Student (co-authored by our own Mark Dredze ) What Readers Look for in a Statement of Purpose Student Perspectives on Applying to NLP PhD Programs A Survival Guide to a PhD Application Deadlines Application Deadline: The deadline for fall is December 15th. (No recruiting for spring admissions.) The application will be available for submission on or around August 15. Vivien Thomas Scholars The Vivien Thomas Scholars Initiative (VTSI) is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically black college and university or other minority serving institution for undergraduate study are eligible to apply. To be considered for the VTSI, all application and supplementary materials must be received by December 1, 2021. Study at Cambridge About the university, research at cambridge. 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International events International student views overview Akhila’s story Alex’s story Huijie’s story Kelsey’s story Nilesh’s story Get in touch! Events overview Upcoming events Postgraduate Open Days overview Discover Cambridge: Master’s and PhD Study webinars Virtual tour Research Internships How we use participant data Postgraduate Newsletter Primary tabs Overview (active tab) Requirements How To Apply The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The Cambridge PhD is a three to four-year full-time (five to seven-year part-time) programme of individual research on a topic agreed by the student and the Department, under the guidance of a staff member as the student's supervisor.  All research students are admitted to read for the PhD degree on a probationary basis and will be registered for the Certificate of Postgraduate Study (CPGS) in the first instance. During this year students may do some additional coursework and will write a research report that is likely to form the foundation of the eventual PhD thesis. The CPGS will involve four components: Research skills training Practical work Research report of no more than 10,000 words Attendance at a research workshops and research seminars At the end of the third term and on completion of the CPGS, students whose performance indicates that they would be able to complete a PhD in a reasonable time will be upgraded to PhD status. A student who is not upgraded to PhD status, and who has completed three terms of study, will normally be awarded the CPGS alone. They will not submit a thesis for the PhD degree. There is an expectation that all research students will contribute to teaching in the department for which some training will be provided. Research students will submit a log - or tally-sheet - of teaching activities annually at the end of June.  Students are expected to complete the substance of their research by the end of their third year, submitting their thesis then or within a few months. Applicants wishing to apply to undertake a PhD on a part-time basis should refer to the Department's admissions advice for potential part-time students. The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details. See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events. Key Information 3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, department of computer science and technology, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, lent 2024 (closed). Some courses can close early. See the Deadlines page for guidance on when to apply. Michaelmas 2024 (Closed) Funding deadlines. These deadlines apply to applications for courses starting in Michaelmas 2024, Lent 2025 and Easter 2025. Similar Courses Advanced Computer Science MPhil Machine Learning and Machine Intelligence MPhil Medical Science (Oncology) MPhil Oncology PhD Computation, Cognition and Language PhD Postgraduate Admissions Office Admissions Statistics Start an Application Applicant Self-Service At a glance Bringing a family Current Postgraduates Cambridge Students' Union (SU) University Policy and Guidelines Privacy Policy Information compliance Equality and Diversity Terms of Study About this site About our website Privacy policy © 2024 University of Cambridge Contact the University Accessibility Freedom of information Privacy policy and cookies Statement on Modern Slavery University A-Z Undergraduate Postgraduate Research news About research at Cambridge Spotlight on... Home > Blog > Academic Degrees > Computer Science News > Why Get a PhD in Computer Science? Your Questions Answered Academic Degrees , Computer Science News Why Get a PhD in Computer Science? Your Questions Answered Updated: June 19, 2024 Published: August 24, 2019 Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia. Most people who have completed the doctorate degree advise doing so only if you really love the subject and research. Earning your PhD in Computer Science has many benefits, although there is no doubt that it’s challenging. Although a doctorate degree is not required to work in the field, it offers other benefits like allowing you to research cutting-edge technology with adequate funding. As with any graduate degree, it takes both time and money to complete, so before deciding to enroll, let’s go more in depth and answer some questions about why you would want to get a PhD in Computer Science. Source: Unsplash What is a phd in computer science. A PhD in Computer Science is the highest level doctorate degree you can earn. Once you finish your undergraduate degree in Computer Science or a related field like Engineering or Applied Mathematics, you can apply for your doctorate degree . If you didn’t major in Computer Science, then earning your Master’s degree in the subject will help you on your journey for your doctorate degree. Although it is not required to apply for a PhD, having your Master’s degree first is generally preferable. Most programs require the following, along with a degree, to apply for a PhD: Previous research experience Letters of recommendation A high GPA (about 3.5-4.0) Program Length Earning your PhD in Computer Science is not for the faint of heart as it requires a lot of time, energy and perseverance. Although the length of completion depends on your enrollment status of full or part-time, it typically takes 5-6 years to finish. Opportunities and Challenges As the top academic achievement within the field, a PhD exposes students to high-level information, as well as some of the hardest challenges facing the world and technology. A PhD grants students the opportunity to perform the research of their choice and explore the topic that interest them the most. Upon graduation, a PhD student can continue with academia or enter the industry. However, if you want to enter the field as a Computer Programmer, Software Developer or the like, you don’t have to earn a degree at this level as a Bachelor’s degree will suffice. In fact, some jobs may consider a PhD candidate to be too highly qualified, so you’ll want to assess your future goals before enrolling in a PhD program. One of the benefits of earning this doctorate degree is the freedom you have. Most programs are quite unstructured, meaning that you get to choose what you want to research. Therefore, you can be a leading expert in the field and help to shape policies around artificial intelligence, automation and technologies that are changing the way the world functions. The deep and rich education can expand your horizons and help you understand ideas and topics that you would never have otherwise considered. Potential Jobs Although it is possible to enter the field of Computer Science without a PhD, having the knowledge will expand possibilities and increase your pay. Some of the job titles that PhD candidates seek include: Computer and Information Research Scientist: People in this position help to invent new programming languages that enhance business practices. With the high amount of data, information and research, these scientists can create changes and also assess their impact through analysis. Database Administrator: Database administrators organize and secure data against attacks. Those with a PhD can be trusted to understand the complex nature of various systems and be able to better protect them. Software Developer: Software developers create systems and software for various uses. Although a PhD is not required to be a software developer, it further enhances one’s understanding. Computer Science salaries vary based on position type, location and education. However, the overall field of Computer Science is growing. In fact, Computer and Information Research Scientists are expecting much higher than average growth with the discipline expected to increase its demand by 19% between 2016 and 2026. Those with a PhD will increase their salary potential based on their educational accomplishment. Furthermore, with a PhD in Computer Science, you can go on to be a professor since you’re a leading expert in the field. The demand for jobs within the field is growing, especially regarding cloud computing, data storage, artificial intelligence and information security. Online Versus Traditional Programs The reason you choose to earn your PhD in Computer Science is personal, and how you choose to do it is also a subjective choice. It’s hard to say if an online university or traditional onsite program is better or worse because the reasons for choosing to do one or the other are different. The benefits of an online program include relatively lower costs, more flexibility and greater accessibility. However, an onsite program offers you more opportunity to perform research and work with those in person who are already advancing the field. For example, some students who earn their Bachelor’s degree in Computer Science online from University of the People may enjoy the online experience and therefore want to continue their studies remotely by earning their PhD online as well. Earning your undergraduate degree is the first step in moving towards earning your PhD in Computer Science. While the field is always growing and the opportunity for research multiplies, pursuing a PhD in the discipline is an important decision to make. The program generally offers freedom to select your area of interest, but it also takes time and a lot of dedication to complete. Those who go on to get their PhD should really have an affinity for the subject matter and love to conduct research. It’s also useful to know that it’s typically easier to earn a PhD then enter the field as opposed to working in the field and then going back to earn your PhD. Any form of higher education will never serve as a detriment as it helps expand your mind, create more networking opportunities and better hone your skills and knowledge regarding specific subject matter. In this article At UoPeople, our blog writers are thinkers, researchers, and experts dedicated to curating articles relevant to our mission: making higher education accessible to everyone. Read More 160 IMAGES PhD-Topics-in-Computer-Science-list.pdf How to select the best topic for your PhD in Computer Science? How To Select The Right Topic For Your PhD In Computer Science What To Do After B.Tech Computer Science? Career Options & Salary 2024 Career After PhD in Computer Science: Paths Beyond Academia How To Phd In Computer Science COMMENTS 5 Highest-Paying Career Options for PhDs in Computer Science For those working toward earning their Doctorate in Computer Science, it isn't uncommon to have questions regarding career paths. Some of these questions include, "Can I get the kind of job I want in computer science following graduation?" "What are my job options?" "What is a doctorate in computer science salary?" "Is a computer science PhD worth it?" Let's look at five ... Career After Doing PHD In Computer Science, What Comes Next? If you have a PHD in computer science, you are among the smartest and most qualified people in the world. You have worked hard for years to earn this degree, and now you are ready to take on the world. But what comes next? How do you use your knowledge and skills to make a difference in the world? Here are five ways to put your PHD to work: FAQ: Is a PhD in Computer Science Worth It? (With Jobs) A Ph.D. in computer science is a doctoral degree that students can earn after completing advanced research on a complex computer science topic, such as artificial intelligence (AI) or network architecture. A doctorate is the highest academic degree students can earn in the computer science field. These programs typically teach students how to ... Ph.D. Programs in Computer Science Interested in a computer science Ph.D. program? Use our guide to learn the benefits of pursuing this degree and what to expect. Doctorate in Computer Science Overview Earning a doctorate in computer science takes 4-5 years. After completing their degrees, graduates commonly work in tech, biomedicine, business, and academia. Computer science doctoral students strengthen their problem-solving, analytical, and research abilities. The degree requires exceptional computing and technology skills. What Can You Do With a Computer Science Degree? Computer science studies focus on computer hardware and software systems, and a degree in the discipline allows someone to pursue a variety of careers - and not just in Silicon Valley. PhD Admissions The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. Computer Science PhD A computer science PhD offers the chance to become a leading researcher in a highly important field with potential for transformational research. Especially consider it if you want to enter computer science academia or do high-level research in industry and expect to be among the top 30% of PhD candidates. Future-Proof your Career with a PhD in Computer Science from UT Dallas How can Bachelor and Master graduates in computer science, software engineering, and related fields capitalize on these opportunities? An ideal place to start is to pursue a computer science or software engineering PhD at the University of Texas at Dallas (UT Dallas). Computer Science In the Computer Science program, you will learn both the fundamentals of computation and computation's interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer ... Pursuing A Part-Time Phd In Computer Science: What You Need To Know A part-time PhD in Computer Science offers the unique opportunity to advance your academic career while still maintaining your professional commitments. This flexibility allows you to continue working in your current job, providing financial stability and practical application of your studies. If you're considering graduate school in Computer Science If you're considering graduate school in Computer Science Considering graduate school in Computer Science? A good place to start is to talk with one of your CS Profs that you know well. In the meantime, here are some general thoughts on graduate school in computer science. Online PhD in Computer Science Guide Learn everything you need to know about getting an online PhD in Computer Science including salary, requirements, and how to get started. Doctor of Philosophy (PhD) Doctor of Philosophy (PhD) The PhD program provides advanced depth and breadth of computer science, and culminates in a dissertation that makes a significant and original contribution to computer science research under the guidance of a faculty member. How Much Will You Earn With a PhD in Computer Science? Payscale.com reports an average salary for computer science PhDs of $133,000. Clearly, you don't get a PhD for the money; you can make nearly as much as a PhD makes with only a master's degree. In 2016, the Taulbee Survey collected income data for computer science faculty at US and Canadian universities. According to its data, a full ... Career Options after a Ph.D Sometimes, Ph.Ds join the university system after working for 5 to 10 years in a startup. They bring in a lot of new ideas with them in the process. Another interesting trend has emerged in the last fifteen years. A disproportionate number of Ph.Ds in computer science are joining the finance and business consulting industries. PhD in Computer Science: Admission, Syllabus, Topics, Colleges, Salary PhD in Computer Science is a 3-year long doctorate level course in computer science and its related aspects. Ph.D. in computer science topics of study include Research Methodology, Data Mining, Machine Learning, Rough Set Theory, etc. Career Prospects After Ph.D. In Computer Science Computer Science is one of the most pursued fields in today's time. While many settle for a B.Tech or an M.Tech, considering they also help you get higher-paying jobs, many prefer going for the research degree— Ph.D. Computer Science. graduate school 5 Why don't you go after an interdisciplinary PhD that will combine Computer Science and Physics? There are so many topics to be explored such as complexity/network theory in physics, and machine learning applications in physics. Computer Science (4 Year Programme) MPhil/PhD The PhD programme in UCL Computer Science is a 4-year programme, in which you will work within research groups on important and challenging problems in the development of computer science. We have research groups that cover many of the leading-edge topics in computer science, and you will be supervised by academics at the very forefront of their field. PhD Program Admissions Applying to our PhD Program We're thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here. PhD in Computer Science The PhD is the primary research degree that can be taken in the Department of Computer Science and Technology. The Cambridge PhD is a three to four-year full-time (five to seven-year part-time) programme of individual research on a topic agreed by the student and the Department, under the guidance of a staff member as the student's supervisor. Why Get a PhD in Computer Science? Your Questions Answered Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia. Featured FAQ: What Can I Do with a Computer Science Degree? Computer Science Jobs for Those With a Master's Degree. If you hold a bachelor's degree in computer science or a similar subject and are seeking a senior-level position, you may find a master's degree in computer science helpful (some employers require them). By updating your existing technological knowledge while honing your leadership ... Buddy4Study's Monthly Scholarship Webinar 2024 Buddy4Study was live. 9 Best Career Options after BSC: What to do After B.Sc? [2024] It is the best course after bsc computer science or jobs after graduation in science. Biostatisticians are experts who perform statistical research studies. They are mostly working in the healthcare industry. They examine genetic data and disorders to create clinical testing and trials for new pharmaceutical medications. assignment essay homework paper phd report resume speech thesis