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How to write a masters dissertation or thesis: top tips.

It is completely normal to find the idea of writing a masters thesis or dissertation slightly daunting, even for students who have written one before at undergraduate level. Though, don’t feel put off by the idea. You’ll have plenty of time to complete it, and plenty of support from your supervisor and peers.

One of the main challenges that students face is putting their ideas and findings into words. Writing is a skill in itself, but with the right advice, you’ll find it much easier to get into the flow of writing your masters thesis or dissertation.

We’ve put together a step-by-step guide on how to write a dissertation or thesis for your masters degree, with top tips to consider at each stage in the process.

1. Understand your dissertation (or thesis) topic

There are slight differences between theses and dissertations , although both require a high standard of writing skill and knowledge in your topic. They are also formatted very similarly.

At first, writing a masters thesis can feel like running a 100m race – the course feels very quick and like there is not as much time for thinking! However, you’ll usually have a summer semester dedicated to completing your dissertation – giving plenty of time and space to write a strong academic piece.

By comparison, writing a PhD thesis can feel like running a marathon, working on the same topic for 3-4 years can be laborious. But in many ways, the approach to both of these tasks is quite similar.

Before writing your masters dissertation, get to know your research topic inside out. Not only will understanding your topic help you conduct better research, it will also help you write better dissertation content.

Also consider the main purpose of your dissertation. You are writing to put forward a theory or unique research angle – so make your purpose clear in your writing.

Top writing tip: when researching your topic, look out for specific terms and writing patterns used by other academics. It is likely that there will be a lot of jargon and important themes across research papers in your chosen dissertation topic. 

2. Structure your dissertation or thesis

Writing a thesis is a unique experience and there is no general consensus on what the best way to structure it is. 

As a postgraduate student , you’ll probably decide what kind of structure suits your research project best after consultation with your supervisor. You’ll also have a chance to look at previous masters students’ theses in your university library.

To some extent, all postgraduate dissertations are unique. Though they almost always consist of chapters. The number of chapters you cover will vary depending on the research. 

A masters dissertation or thesis organised into chapters would typically look like this: 

Write down your structure and use these as headings that you’ll write for later on.

Top writing tip : ease each chapter together with a paragraph that links the end of a chapter to the start of a new chapter. For example, you could say something along the lines of “in the next section, these findings are evaluated in more detail”. This makes it easier for the reader to understand each chapter and helps your writing flow better.

3. Write up your literature review

One of the best places to start when writing your masters dissertation is with the literature review. This involves researching and evaluating existing academic literature in order to identify any gaps for your own research.

Many students prefer to write the literature review chapter first, as this is where several of the underpinning theories and concepts exist. This section helps set the stage for the rest of your dissertation, and will help inform the writing of your other dissertation chapters.

What to include in your literature review

The literature review chapter is more than just a summary of existing research, it is an evaluation of how this research has informed your own unique research.

Demonstrate how the different pieces of research fit together. Are there overlapping theories? Are there disagreements between researchers?

Highlight the gap in the research. This is key, as a dissertation is mostly about developing your own unique research. Is there an unexplored avenue of research? Has existing research failed to disprove a particular theory?

Back up your methodology. Demonstrate why your methodology is appropriate by discussing where it has been used successfully in other research.

4. Write up your research

Your research is the heart and soul of your dissertation. Conducting your actual research is a whole other topic in itself, but it’s important to consider that your research design will heavily influence the way you write your final dissertation.

For instance, a more theoretical-based research topic might encompass more writing from a philosophical perspective. Qualitative data might require a lot more evaluation and discussion than quantitative research. 

Methodology chapter

The methodology chapter is all about how you carried out your research and which specific techniques you used to gather data. You should write about broader methodological approaches (e.g. qualitative, quantitative and mixed methods), and then go into more detail about your chosen data collection strategy. 

Data collection strategies include things like interviews, questionnaires, surveys, content analyses, discourse analyses and many more.

Data analysis and findings chapters

The data analysis or findings chapter should cover what you actually discovered during your research project. It should be detailed, specific and objective (don’t worry, you’ll have time for evaluation later on in your dissertation)

Write up your findings in a way that is easy to understand. For example, if you have a lot of numerical data, this could be easier to digest in tables.

This will make it easier for you to dive into some deeper analysis in later chapters. Remember, the reader will refer back to your data analysis section to cross-reference your later evaluations against your actual findings – so presenting your data in a simple manner is beneficial.

Think about how you can segment your data into categories. For instance, it can be useful to segment interview transcripts by interviewee. 

Top writing tip : write up notes on how you might phrase a certain part of the research. This will help bring the best out of your writing. There is nothing worse than when you think of the perfect way to phrase something and then you completely forget it.

5. Discuss and evaluate

Once you’ve presented your findings, it’s time to evaluate and discuss them.

It might feel difficult to differentiate between your findings and discussion sections, because you are essentially talking about the same data. The easiest way to remember the difference is that your findings simply present the data, whereas your discussion tells the story of this data.

Your evaluation breaks the story down, explaining the key findings, what went well and what didn’t go so well.

In your discussion chapter, you’ll have chance to expand on the results from your findings section. For example, explain what certain numbers mean and draw relationships between different pieces of data.

Top writing tip: don’t be afraid to point out the shortcomings of your research. You will receive higher marks for writing objectively. For example, if you didn’t receive as many interview responses as expected, evaluate how this has impacted your research and findings. Don’t let your ego get in the way!

6. Write your introduction

Your introduction sets the scene for the rest of your masters dissertation. You might be wondering why writing an introduction isn't at the start of our step-by-step list, and that’s because many students write this chapter last.

Here’s what your introduction chapter should cover:

Problem statement

Research question

Significance of your research

This tells the reader what you’ll be researching as well as its importance. You’ll have a good idea of what to include here from your original dissertation proposal , though it’s fairly common for research to change once it gets started.

Writing or at least revisiting this section last can be really helpful, since you’ll have a more well-rounded view of what your research actually covers once it has been completed and written up.

Masters dissertation writing tips

When to start writing your thesis or dissertation.

When you should start writing your masters thesis or dissertation depends on the scope of the research project and the duration of your course. In some cases, your research project may be relatively short and you may not be able to write much of your thesis before completing the project. 

But regardless of the nature of your research project and of the scope of your course, you should start writing your thesis or at least some of its sections as early as possible, and there are a number of good reasons for this:

Academic writing is about practice, not talent. The first steps of writing your dissertation will help you get into the swing of your project. Write early to help you prepare in good time.

Write things as you do them. This is a good way to keep your dissertation full of fresh ideas and ensure that you don’t forget valuable information.

The first draft is never perfect. Give yourself time to edit and improve your dissertation. It’s likely that you’ll need to make at least one or two more drafts before your final submission.

Writing early on will help you stay motivated when writing all subsequent drafts.

Thinking and writing are very connected. As you write, new ideas and concepts will come to mind. So writing early on is a great way to generate new ideas.

How to improve your writing skills

The best way of improving your dissertation or thesis writing skills is to:

 Finish the first draft of your masters thesis as early as possible and send it to your supervisor for revision. Your supervisor will correct your draft and point out any writing errors. This process will be repeated a few times which will help you recognise and correct writing mistakes yourself as time progresses.

If you are not a native English speaker, it may be useful to ask your English friends to read a part of your thesis and warn you about any recurring writing mistakes. Read our section on English language support for more advice. 

Most universities have writing centres that offer writing courses and other kinds of support for postgraduate students. Attending these courses may help you improve your writing and meet other postgraduate students with whom you will be able to discuss what constitutes a well-written thesis.

Read academic articles and search for writing resources on the internet. This will help you adopt an academic writing style, which will eventually become effortless with practice.

Keep track of your bibliography 

When studying for your masters dissertation, you will need to develop an efficient way of organising your bibliography – this will prevent you from getting lost in large piles of data that you’ll need to write your dissertation. 

The easiest way to keep the track of all the articles you have read for your research is to create a database where you can summarise each article/chapter into a few most important bullet points to help you remember their content. 

Another useful tool for doing this effectively is to learn how to use specific reference management software (RMS) such as EndNote. RMS is relatively simple to use and saves a lot of time when it comes to organising your bibliography. This may come in very handy, especially if your reference section is suspiciously missing two hours before you need to submit your dissertation! 

Avoid accidental plagiarism

Plagiarism may cost you your postgraduate degree and it is important that you consciously avoid it when writing your thesis or dissertation. 

Occasionally, postgraduate students commit plagiarism unintentionally. This can happen when sections are copy and pasted from journal articles they are citing instead of simply rephrasing them. Whenever you are presenting information from another academic source, make sure you reference the source and avoid writing the statement exactly as it is written in the original paper.

What kind of format should your thesis have?

Read your university’s guidelines before you actually start writing your thesis so you don’t have to waste time changing the format further down the line. However in general, most universities will require you to use 1.5-2 line spacing, font size 12 for text, and to print your thesis on A4 paper. These formatting guidelines may not necessarily result in the most aesthetically appealing thesis, however beauty is not always practical, and a nice looking thesis can be a more tiring reading experience for your postgrad examiner .

When should I submit my thesis?

The length of time it takes to complete your MSc or MA thesis will vary from student to student. This is because people work at different speeds, projects vary in difficulty, and some projects encounter more problems than others. 

Obviously, you should submit your MSc thesis or MA thesis when it is finished! Every university will say in its regulations that it is the student who must decide when it is ready to submit. 

However, your supervisor will advise you whether your work is ready and you should take their advice on this. If your supervisor says that your work is not ready, then it is probably unwise to submit it. Usually your supervisor will read your final thesis or dissertation draft and will let you know what’s required before submitting your final draft.

Set yourself a target for completion. This will help you stay on track and avoid falling behind. You may also only have funding for the year, so it is important to ensure you submit your dissertation before the deadline – and also ensure you don’t miss out on your graduation ceremony ! 

To set your target date, work backwards from the final completion and submission date, and aim to have your final draft completed at least three months before that final date.

Don’t leave your submission until the last minute – submit your work in good time before the final deadline. Consider what else you’ll have going on around that time. Are you moving back home? Do you have a holiday? Do you have other plans?

If you need to have finished by the end of June to be able to go to a graduation ceremony in July, then you should leave a suitable amount of time for this. You can build this into your dissertation project planning at the start of your research.

It is important to remember that handing in your thesis or dissertation is not the end of your masters program . There will be a period of time of one to three months between the time you submit and your final day. Some courses may even require a viva to discuss your research project, though this is more common at PhD level . 

If you have passed, you will need to make arrangements for the thesis to be properly bound and resubmitted, which will take a week or two. You may also have minor corrections to make to the work, which could take up to a month or so. This means that you need to allow a period of at least three months between submitting your thesis and the time when your program will be completely finished. Of course, it is also possible you may be asked after the viva to do more work on your thesis and resubmit it before the examiners will agree to award the degree – so there may be an even longer time period before you have finished.

How do I submit the MA or MSc dissertation?

Most universities will have a clear procedure for submitting a masters dissertation. Some universities require your ‘intention to submit’. This notifies them that you are ready to submit and allows the university to appoint an external examiner.

This normally has to be completed at least three months before the date on which you think you will be ready to submit.

When your MA or MSc dissertation is ready, you will have to print several copies and have them bound. The number of copies varies between universities, but the university usually requires three – one for each of the examiners and one for your supervisor.

However, you will need one more copy – for yourself! These copies must be softbound, not hardbound. The theses you see on the library shelves will be bound in an impressive hardback cover, but you can only get your work bound like this once you have passed. 

You should submit your dissertation or thesis for examination in soft paper or card covers, and your university will give you detailed guidance on how it should be bound. They will also recommend places where you can get the work done.

The next stage is to hand in your work, in the way and to the place that is indicated in your university’s regulations. All you can do then is sit and wait for the examination – but submitting your thesis is often a time of great relief and celebration!

Some universities only require a digital submission, where you upload your dissertation as a file through their online submission system.

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Master of Science in Information Technology Theses

Information Technology (IT) focuses on meeting the needs of users within an organizational and societal context through the selection, creation, application, integration and administration of computing technologies. To succinctly put it - IT uses technology to apply information to meet business needs.

Information Technology is the term used to describe the convergence of computer science, management and information systems. The main distinction between IT and the other computing disciplines (e.g., computer science, software engineering, etc.) is that IT professionals must know how to apply computing technology and to build a business case for that application. It emphasizes the management and performance of information technology planning, development, implementation and operation, and development of the infrastructure to support the processes necessary to achieve organizational objectives.

The Masters of Science in Information Technology degree is designed to enhance career options for a broad mix of students. The program is geared for those students interested in pursuing a career in the management and performance of information systems planning, development, implementation and operation.

This collection was started with the graduates of the Fall 2015 semester, after the consolidation between Kennesaw State University and Southern Polytechnic State University was final (July 2015).

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Theses/dissertations from 2023 2023.

SCREENSAFEFUTURE: A PARENT-EMPATHETIC AND PRACTICAL MHEALTH APPLICATION FOR TODDLERS' BRAIN DEVELOPMENT ADDRESSING SCREEN-ADDICTION CHALLENGES , Nafisa Anjum

Analysis of the Adherence of mHealth Applications to HIPAA Technical Safeguards , Bilash Saha

Assessing Blockchain’s Potential to Ensure Data Integrity and Security for AI and Machine Learning Applications , Aiasha Siddika

Theses/Dissertations from 2022 2022

A Literature Review On Privacy and Security in Virtual Reality and Augmented Reality , Yunus Gumbo

A Maturity Model of Data Modeling in Self-Service Business Intelligence Software , Anna Kurenkov

Blockchain-based Medical Image Sharing and Critical-result Notification , Jiyoun Randolph

Theses/Dissertations from 2021 2021

Deep Learning for Human MicroRNA Precursor Prediction: A Systematic Literature Review , Martina ojonah

Non-Invasive Monitoring of Human Hygiene using Vibration Sensor and Classifier , Shashank Trivedi, Maria Valero, Hossain Shahriar, and Liang Zhao

Theses/Dissertations from 2020 2020

Distributed Denial of Service Attack Detection , Travis Blue

A Framework to Detect Presentation Attacks , Laeticia Etienne

Using Multiple Data Sources for Customer Satisfaction Analyzing: A Sentimental Approach , Jhanvi Vyas

Theses/Dissertations from 2019 2019

An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System , Daniel Laufenberg

Theses/Dissertations from 2018 2018

Why Certified IoT Devices Remain Untrustworthy , Donald Privitera

Theses/Dissertations from 2016 2016

The Paradox of Social Media Security: A Study of IT Students’ Perceptions versus Behavior on Using Facebook , Zahra Y. Alqubaiti

A Framework for Hybrid Intrusion Detection Systems , Robert N. Bronte

Perceived Effectiveness of E-Learning for Technology Instruction in Public Library Staff Development Programs: A Survey Based on the Technology Acceptance Model , Julia Huprich

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IT & Computer Science THESIS AND RESEARCH TOPICS

Information technology (IT) and computer science research topics propel the digital age and landscape, shaping AI, cybersecurity, and user-friendly interfaces to revolutionize industries, societies, and human experiences. View all our IT and computer science thesis topics below.

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Overview of IT & Computer Science topics for bachelor and master thesis project

Find IT and computer science research topics and themes in artificial intelligence (AI), machine learning (ML), IT security, software engineering, data science, UX/UI, NLP, app development, human-computer interaction (HCI), and much more! Be inspired on your tech journey here.

• Technical University of Denmark
• Master of Science
• Spring 2024

IT & Computer Science

Web App Development

UI/UX Design

Knowledge Sharing

Validating and Testing

Knowledge Sharing Web Application Development Project

Interactive software development by engaging users and main stakeholders

Are you seeking a collaboration for developing a brand new or refine an already existing web based application? Then look no further, this is the right place to be as the main goal of this project is to provide the best possible results uniquely tailored to its stakeholders needs using a user-centric approach.  As a starting point, this is a Master's Thesis Project for which I am seeking collaborators and the first idea of the project is to develop a knowledge sharing platform with educatio...

1 x MSc in Engineering (Computer Science and Engineering)

• University of Southern Denmark

Design Innovation

Design research

Product innovation

User experiences on play

Research on experiences

Exploring the Lived Experience of Play: A Phenomenological Inquiry

How play is experienced and what the implications are for design.

The act of play is a fundamental aspect of human life, influencing various domains such as creativity, social interaction, well-being, and personal development. Despite its ubiquity, the subjective nature of play remains relatively unexplored. This research proposes a phenomenological inquiry into the lived experiences of play, aiming to uncover the intricate ways individuals engage with and perceive play in diverse contexts.   Background and Rationale:   Play encompasses a wide ra...

1 x Cand.it. i Produkt Design

• University of Copenhagen

Quantum Computing

Climate Modeling

Environmental Simulation

Algorithm Development

Data Analysis in Climate Science

Leveraging Quantum Computing for Enhanced Climate Modeling and Simulation

Harnessing Quantum Power for Climate Insights: A New Era in Environmental Modeling

Introduction With its ability to solve complex computational problems more efficiently than classical computing, quantum computing has emerged as a promising field. This thesis presents an opportunity to explore the application of quantum computing in the crucial domain of climate modeling and simulation. By developing and assessing quantum-enhanced models, we can achieve more accurate predictions of weather patterns, ocean currents, and the impact of greenhouse gases. This research has the pote...

1 x MSc in Computer Science

Digital Healthcare

Patient-Clinic Communication

Medical Data Security

Healthcare Mobile Application

Universal Patient-Clinic Communication Application

Overview  The proposed thesis focuses on developing a comprehensive application designed to streamline and enhance communication between patients and clinics. This multifunctional platform aims to cover all aspects of medical interaction, from appointment booking to surgery scheduling. It will facilitate the maintenance of digital medical records, including receipts and reports like scans and X-rays, ensuring transparency and accessibility for patients. Motivation: The primary motivation be...

Cybersecurity

Energy Consumption

IoT Architecture

Optimizing IoT Efficiency: Enhancing Performance While Ensuring Security

Advancing Energy-Efficient and Secure IoT Solutions: A Collaborative Research Initiative

In the era of digital transformation, the Internet of Things (IoT) stands as a cornerstone of innovation and efficiency. Our research project, titled "Optimizing IoT Efficiency: Enhancing Performance While Ensuring Security," aims to advance the standards of operational efficiency and security in IoT systems. Our thesis project will conduct an in-depth evaluation of your current IoT system architecture, focusing on optimizing energy usage while maintaining effective security. By dissecting the i...

1 x Cybersecurity

• Aalborg University

User Experience

Machine Learning

Digital Product Design

Data-driven Insights

User-Centered Design

Crafting Exceptional User Experiences: A Data-Driven Approach to Digital Product Design

Enhancing User Experience, Fostering Innovation, and Guiding Informed Decision-Making in Digital Product Development

Introduction  In today's dynamic digital landscape, organizations spanning diverse sectors face an ongoing challenge: the continuous enhancement of user experience (UX) and innovation in their digital products and services. This thesis proposal presents a dynamic framework that seamlessly merges user-centred design principles with data-driven insights, enhanced by machine learning, with a sharp focus on elevating UX and stimulating product innovation. This proposal outlines an adaptable fra...

1 x MSc in Information Science (Information Studies)

1 x Cand.it. i Information Science (Information Studies)

• Aarhus University

Cyber Security

Business Development

Cyber Security Strategies in an AI Generation

The unique challenges SME's face in securing their digital assets and data, and how they can implement robust security protocols in an AI generation.

This thesis will investigate practical, scalable cybersecurity strategies for small and medium-sized enterprises (SMEs). Recognizing the unique challenges SMEs face, such as limited budgets and expertise, the study will focus on identifying cybersecurity threats specific to SMEs and evaluating affordable, efficient security solutions with AI. The research will include a survey of current cybersecurity risks, an assessment of various security frameworks and tools suitable for SMEs, and interviews...

1 x Msc in Technology based Business Development

Optimization

Data Management

Education Sector

Optimization of Data Management and Compliance in the Education Sector through Chatbots

Enhancing Efficiency and Security with AI-Powered Solutions

I wish to examine how chatbots, powered by artificial intelligence (AI), can play a crucial role in optimizing data management and security compliance in the education sector. Chatbots have become increasingly sophisticated, and their potential in terms of data management and compliance is only beginning to be explored. The focus will be on key areas, such as the implementation of chatbots in the education sector, including how chatbots can be effectively integrated into the school's IT environm...

1 x Cand.it. i Webkommunikation

Rsk assesment

Quantative analysis

Data analysis

Machine Learning in the Financial Sector

Risk management, portfolio optimization

Machine Learning Project in Finance  The main goal for our Master Project is to implement different machine learning algorithms (including reinforcement learning and deep learning) in finance. We are mainly interested in testing the performance of these algorithms (with comparison to available approaches) in: 1.     Risk Assessment - assessing and managing risks in investment portfolios 2.     Portfolio Optimization - using algorithms to construct diversified portfolios ...

1 x MSc in Engineering (Business Analytics)

IT-implementation

Project management

Change management

Data mangement

Process innovation

IT-implementation in company X

Streamlining processes through IT/data

How can technology or data contribute to streamlining the daily work in a company? And how can the company, through effective management, motivate the company to use the technology or data correct? This is what I want to examine in my master thesis. The company or organisation can be in the public or private sector in any given industry. A potential research question can be as following: "How can the organisation X use technology Y to streamline workflow, and which implication can appear during ...

1 x Cand.it. i IT, Kommunikation og Organisation (ITKO)

Website Redesign

Usability Enhancement

User-Centric Redesign

Graphic Design

UI/UX Design with a prototype

This thesis in website redesign would focus on the comprehensive overhaul and optimization of an existing website. This project would involve a deep analysis of the current website's user experience, design, functionality, and performance. The aim is to identify shortcomings and areas for improvement, taking into account user feedback and industry best practices. The thesis would propose and implement innovative design concepts, user interface enhancements, and potentially, the integration of cu...

Software Engineering

Agile Methodology

User-Centric Software Engineering Project

Leveraging agile principles and domain knowledge to deliver valueable software product

Are you looking for an eager collaboration partner to aid in the design, implementation and/or testing of a high-value software system? Does the project frame and scope lend itself to a thesis collaboration? Then I would be honored to assist! Ideally I am seeking an opportunity to contribute to a new or existing software project that places a strong emphasis on agile methodologies, user-centric development, and the utilization of contemporary technologies. While collaboration within a team is de...

• Copenhagen Business School

Data Science

Deep Learning

Machine Learning applied to business context

How ML can bring value

The idea is to identify Machine Learning techniques that are appropriate to the existing framework of the company and industry. The main steps of Data Science Methodology will be applied:  -       Data Preprocessing with a focus on handling missing values, outliers, and noise.  -       Exploratory Data Analysis in order to uncover patterns, correlations, and potential anomalies within the data. -       Model Development: unsupervised/supervi...

1 x MSc in Business Administration and Data Science

• Master of Arts

communication

Thesis in Communication & IT

Open for suggestions

Hello! We are three cand.IT students from Communication & IT at Københavns Universitet looking for someone to collaborate with on our master thesis. We have experience with: Analysing datasets Developing ideas to optimise workflows Design and innovation in relation to interfaces and IT-systems Previously, we have collaborated with several companies in relation to our education. We are open for suggestions on specific issues in your organisation or company, on which you could use some in...

1 x Cand.mag. i Kommunikation og IT

Innovative Solutions

Data Science Students

Efficiency Improvements

CSR related activities

Financial background

Open to Fine-Tune Solutions in Partnership with Your Company

We are two dedicated MSc students in Business Analytics and Data Science, seeking an collaboration with a company for our thesis project. About Us: - We both have a strong academic background in finance and economics - Our shared interests revolve around utilizing big data analytics, algorithms, and machine learning models to optimize processes and enhance workflows. - We are passionate about sustainability and Corporate Social Responsibility (CSR) initiatives. - Together, we have successfully c...

Mental Health Assessment

Adaptive Personalized Care

Conversational AI

Digital Therapeutic Interaction

Development and Implementation of an AI-Driven Mental Health Tool for Adaptive Patient Assessment and Psychiatrist Matching

Conversational AI x Mental Health

In the realm of healthcare, technology-driven solutions have become essential to assist patients, therapists, and support networks. In the context of mental health, where personalized care is paramount, the development of thoughtfully crafted technological tools is imperative. Individuals facing mental health challenges require solutions that align with their unique needs and capabilities. A well-designed user interface (UI) and an enriching user experience (UX) are critical for ensuring that th...

1 x MSc in Engineering (Human-Centered Artificial Intelligence)

• Roskilde University
• Spring 2023

Data prediction using different machine learning models

Computer science

The main focus of this project is to work with real life problems and real life data. As the title suggests, we are thinking of using different methods to predict new data....

1 x Computer Science and Informatics

Research Interest

AI in practice

Internatiol Network

Human-ML Augmentation

How to improve fairness when augmenting human decisions with Machine Learning

MIS Quarterly The thesis will investigate how Machine Learning influences excisting Information Systems theories and their notions of fairness in collaboration and decision making. Artificial Intelligence and Machine Learning is already widely used and will be applied even more in the future. Sometimes machines are taught human biases and even extend those on a larger scale, this needs to be prevented by creating models sensitive to fairness. However in other cases machines and algorithms can en...

1 x Business Administration and Information Systems

• IT University of Copenhagen

Reduced costs

Process optimisation

Process automatisation from manual to automatic

Automatisation of a process

We are three student from IT-University who are writing a bachelor project focusing on processes. We are looking for a process were we can automate manual tasks with creating, storing or moving data in excel or other easy-accesible systems. The benefit of this automatizion will unlock possibilities for Business Intelligence and increased usage of the data and/or simply heap the benefits of reduced costs....

1 x Global Business Informatics

IT transformation

Participatory IT Design

Preliminary study in IT transformation

In recent years a lot of organizations are looking towards IT to solve business and organizational related problems. This means a lot of time and money are spend on a variety of projects, some with more success than others. This project is preliminary study of such a situation. Using the MUST-method, the project examines the feasibility of a future or existing IT solution to a given problem. The MUST-method is a hollistic approah where all affected parties in the organization is included, and ar...

1 x Software Development

Algorithmic management

human vs. technological

Efficiency and optimization

Bachelor thesis: Algorithmic Management in organizations

Bachelor of science - Global Business Informatics

We are a group of three Global Business Informatics students at ITU, in the midst of our bachelor's project. We share an interest in technologies that form and co-construct in relation to organizational structures and in that regard wish to explore this further with our project.  We intend to investigate the shifts in organizing principles that take form in the presence of algorithmic management technologies. We find this topic interesting due to the multiple aspects it presents: human vs. ...

Design process

User centered

Creative approach

Collaboration

How UX can help solve user pain points

Use our UX and design process skills to help illuminate problems and suggest solutions

We haven't set our minds on a thesis topic yet, but would rather use Excelerate as an opportunity for inspiration through collaboration. We are interested in finding user pain points or problematics, and through data collecting and design processes try to solve this problematics - potentially with Hi-Fi prototype(s). We hope to find these problematics through a collaboration, discussion or/and conversation with you as our potential partner. We especially find interest within the field of AI (fro...

1 x Digital Design and Interactive Technologies

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Ethical application

Better algorithms

Ethical applicationen of AI

How to make ethical algorithms

A while back an algorithm was implemented in jobcentres that predicted who were at risk for becoming long-term unemployed. When implemented it predicted that people above the age of 60 and those whose parents came from other countries were more likely to become unemployed. The algorithm did not solve a problem with unemployment, but instead just predicted the biases that employers have when they are looking to hire new employees.Instead an algorithm that focused on competences might have been mo...

1 x IT Management

Universities

Plagiarism Detection Systems

Evaluating the Efficacy of University Plagiarism Detection Systems in Verifying Student Authenticity of Knowledge in the Era of ChatGPT

Ensuring Academic Integrity in the Age of ChatGPT: An Assessment of University Plagiarism Detection Systems and their Effectiveness in Verifying Student Knowledge Authenticity

This thesis aims to evaluate the efficacy of plagiarism detection systems used by universities in verifying the authenticity of students' knowledge, specifically in the context of ChatGPT and similar AI models. By assessing the capabilities and limitations of these systems within the university environment, this research will explore whether they can effectively identify instances of plagiarism involving AI-generated content and ensure the authenticity of student work.  ...

decision-making

data science

Creating a business reporting app, as a method of quick response to threats

Nowadays proper information is crucial to achieve success - how coding can help us with it

My idea is to write about giving a proper information about e.g. amount of sold products to the team and managersd. My field of study is Data Science, so I want to create an app which will automate process of informing management about organisation's results. My idea is to begin why it is crucial to inform a team frequently and indroducing main methods to do so (including review literature and comparing different methods of doing it). Later my idea is to move to methodology where I will create a...

1 x MSc in Social Data Science

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Application

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Android Studio

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Mobile App development

My idea is to create an app that would direct a user from place A to B by giving vibration signals to the user.  The app would have a map on the interface and the user would insert where they want to go. Then the map would give signals by vibrating when the user needs to turn left or right.  I argue this idea would be useful for people cycling if they don't want to have a phone in their hand while they cycle. Also if you run on a new route and you don't want to stop and check direction...

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Prototyping

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A case study focusing on user involvement in digital development to improve user experiences

We are looking for a partner to collaborate with for our thesis, to investigate a concrete case where we can use our methodologies from UX Design and digital design in general. We have a philosophy that is based on the assumption that user involvement enhances the user experiences. ...

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Cyber security risks in the modern organization (working title)

How to handle cyber security risks in a modern organization and the economic consequences hereof

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Deploying MLOps in a live production setup - a demo case study to operationalize machine learning

Deploying MLOps – the most pivotal but also underrated component in machine learning: A demo case study on [insert use case theme here]

Our thesis aims to operationalise a machine learning workflow for a company or department that is interested to deploy a machine learning solution to enhance their work. The theoretical underpinnings of this machine learning workflow (also referred to as MLOps) will be based on materials stemming from different courses – ranging from infrastructural choices (e.g. Microsoft Azure, Databricks, AWS etc.), database choice (e.g. RDMBS vs NoSQL), database design theories, reference architecture ...

machine learning

deep learning

data analysis

artificial intelligence

Master thesis within Machine Learning

Application and developement

Hello,I am studying for a master's in Human-centered AI at DTU. I am about to write my thesis next spring (starting around the 1st of February) and in that regard, I am exploring what exciting thesis options exist.Through both my bachelor's and master I have done a lot of different kinds of machine learning and I would thus like to find a thesis project within this area. I wish to write a thesis which both has a practical and theoretical aspect. The practical aspect could be a type of product, w...

Machine Learing

Neural Radiance Fields

Proven team

Neural Radiance Fields research and application

Research into expanding neural radiance fields and then applying it to the real world.

We are looking for a project A bachelor project centered around machine learning Specifically something within the field of deep learing, and we welcome you to propose any projects that could benefit from our set of skills. Currently, we have been looking at Neural Radiance Fields (NeRF) and its applications. It is a new technique that enables novel view synthesis from just a few images. This allows you to "fly" around a scene and see it from any direction. Specifically BaRF, Mip-NeRF 360, and I...

1 x Engineering (Artificial Intelligence and Data)

Risk Management

A Cybersecurity Risk-management Approach

NIS2-directive

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Reading disorder

Helping regular people understand the life of dyslexic friends and family

A tool for helping relatives and interested parties to understand life with dyslexia

The thesis is currently marked as just 1 student but ideally I will find 1 or 2 more to join me on this endeavour. The core inspiration for this comes from the games and simulations intended to let typical people experience what it's like to have autism. An example of these would be Autismity. Dyslexia is generally treated less severely than for example autism and we already have various tools to aid dyslexic people deal with education and more, so providing a tool, game or simulation for actual...

Online Fraud

Banking Industry

Identity Theft

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At present time, fraudsters flourishes in online communities. As a result, the banking industry and the Danish police experience a massive number of reports from victims of this type of crime. Dealing with this problem is important so that it can be safe and secure for the individual to shop online....

1 x MSc in Software Design

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19 Engineering & Technology

Interested in machines, algorithms, and structures that shape industries, societies, and our lives? Browse engineering and technology research topics that merge design, creativity, and innovation toward a smarter future.

Engineering & Technology research topics

7 sustainability & environment.

Interested in environmental dynamics and safeguarding our Planet? Explore research topics in environment, sustainability, and climate seeking to tackle climate change, cultivate sustainable practices, and craft greener, healthier solutions.

Sustainability & Environment research topics

2 chemistry.

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1 mathematics & statistics.

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1 medicine & health.

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0 astronomy.

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M.Sc. Thesis Program Information

Our M.Sc. thesis program offers students a wide exposure to advanced topics in Computer Science and trains them in performing cutting-edge research. It prepares students for research careers in academia and industry.

The program is designed to take 18-24 months. Students have to register as full-term M.Sc. students (thesis) for three terms (typically in Fall/Winter/Fall) and then often for one additional session (Winter).

Students intending to pursue a Ph.D. after the M.Sc. should follow the thesis program rather than the non-thesis program. Alternatively, students may apply to be fast-tracked to the Ph.D. program without completing the M.Sc. first. Such applicants must have completed a minimum of two and a maximum of four full-time semesters, according to GPS rules. For more information, see the bottom of this web page.

The M.Sc. thesis program has a total of 45 credits. In its current form students have to attend talks throughout the first year in the School’s Computer Science Seminar (COMP 602 in Fall and COMP 603 in Winter) to get a broad insight of current research challenges, take 4 complementary courses with a breadth requirement, and conduct a research thesis with significant scholarly content. This research will be overseen by an academic supervisor.

Students are encouraged to take a minimum of two complementary courses in their first semester and strongly encouraged to complete all four complementary courses by the end of their second semester (alternative plans should be discussed with supervisor(s) or the GPD).

M.Sc. Computer Science (Thesis) (45 credits)

Thesis courses (29 credits).

At least 29 credits selected from:

• COMP 691 Thesis Research 1 (3 credits)
• COMP 696 Thesis Research 2 (3 credits)
• COMP 697 Thesis Research 3 (4 credits)
• COMP 698 Thesis Research 4 (10 credits)

COMP 699 Thesis Research 5 (12 credits)

Required Courses (2 credits)

• COMP 602 Computer Science Seminar 1 (1 credit)

COMP 603 Computer Science Seminar 2 (1 credit)

Complementary Courses (14 credits)

At least 14 credits of COMP (or approved by MSc Thesis Program Director) courses at the 500-, 600-, or 700-level. The courses must meet the Breadth Requirement, namely courses must be from at least two of the three areas of Theory, Systems, and Applications. See the detailed information here.

Letter of Understanding

The letter of understanding must be filled by the student and the supervisor(s) at the initial meeting and signed by both. This letter of understanding must be uploaded by the student into MyProgress. If there are significant changes in the understanding, a new letter can be created and uploaded.

Annual Progress Report

Each student must meet annually with his/her supervisor or co-supervisors to assess the progress made during the previous year, and describe plans for the coming year. The progress form below must be filled by the student, discussed with the supervisor, and signed by both. A progress form must be filled each year (except the first year) before September 30th, and submitted to Ann Jack.

Annual Progress Form (PDF document)

Fast-tracking from the M.Sc. Thesis to the Ph.D. program

Excellent M.Sc. thesis students who would like to pursue doctoral studies can apply to be "fast-tracked" to the Ph.D. program, after having completed a minimum of two and maximum of four full time semesters of the MSc Thesis program. Each fast-tracking application will be evaluated by the Ph.D. committee, in concert with the proposed Ph.D. supervisor, on a case-by-case basis. Evaluation criteria will include excellence of the academic record and achievements in research. M.Sc. students interested in fast-tracking to the Ph.D. program should discuss this option with their supervisor.

Typical Timeline

Getting started.

• Select courses and create a Masters plan
• Sign the Letter of Understanding with the supervisor

Courses and Research

Students can take courses and do research in any order they would like.

Finishing Up Your M.Sc.

• When your thesis is complete, submit it for review.
• Your thesis must satisfy the publication requirements of the supervisor.
• After receiving feedback, submit your final corrected thesis.
• Graduate with M.Sc.

For any specific questions, see contact information here.

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• Dissertation & Thesis Outline | Example & Free Templates

Dissertation & Thesis Outline | Example & Free Templates

Published on June 7, 2022 by Tegan George . Revised on November 21, 2023.

A thesis or dissertation outline is one of the most critical early steps in your writing process . It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding the specifics of your dissertation topic and showcasing its relevance to your field.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

In the final product, you can also provide a chapter outline for your readers. This is a short paragraph at the end of your introduction to inform readers about the organizational structure of your thesis or dissertation. This chapter outline is also known as a reading guide or summary outline.

Table of contents

How to outline your thesis or dissertation, dissertation and thesis outline templates, chapter outline example, sample sentences for your chapter outline, sample verbs for variation in your chapter outline, other interesting articles, frequently asked questions about thesis and dissertation outlines.

While there are some inter-institutional differences, many outlines proceed in a fairly similar fashion.

• Working Title
• “Elevator pitch” of your work (often written last).
• Introduce your area of study, sharing details about your research question, problem statement , and hypotheses . Situate your research within an existing paradigm or conceptual or theoretical framework .
• Subdivide as you see fit into main topics and sub-topics.
• Describe your research methods (e.g., your scope , population , and data collection ).
• Present your research findings and share about your data analysis methods.
• Answer the research question in a concise way.
• Interpret your findings, discuss potential limitations of your own research and speculate about future implications or related opportunities.

For a more detailed overview of chapters and other elements, be sure to check out our article on the structure of a dissertation or download our template .

To help you get started, we’ve created a full thesis or dissertation template in Word or Google Docs format. It’s easy adapt it to your own requirements.

 Download Word template    Download Google Docs template

It can be easy to fall into a pattern of overusing the same words or sentence constructions, which can make your work monotonous and repetitive for your readers. Consider utilizing some of the alternative constructions presented below.

Example 1: Passive construction

The passive voice is a common choice for outlines and overviews because the context makes it clear who is carrying out the action (e.g., you are conducting the research ). However, overuse of the passive voice can make your text vague and imprecise.

Example 2: IS-AV construction

You can also present your information using the “IS-AV” (inanimate subject with an active verb ) construction.

A chapter is an inanimate object, so it is not capable of taking an action itself (e.g., presenting or discussing). However, the meaning of the sentence is still easily understandable, so the IS-AV construction can be a good way to add variety to your text.

Example 3: The “I” construction

Another option is to use the “I” construction, which is often recommended by style manuals (e.g., APA Style and Chicago style ). However, depending on your field of study, this construction is not always considered professional or academic. Ask your supervisor if you’re not sure.

Example 4: Mix-and-match

To truly make the most of these options, consider mixing and matching the passive voice , IS-AV construction , and “I” construction .This can help the flow of your argument and improve the readability of your text.

As you draft the chapter outline, you may also find yourself frequently repeating the same words, such as “discuss,” “present,” “prove,” or “show.” Consider branching out to add richness and nuance to your writing. Here are some examples of synonyms you can use.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

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George, T. (2023, November 21). Dissertation & Thesis Outline | Example & Free Templates. Scribbr. Retrieved April 2, 2024, from https://www.scribbr.com/dissertation/dissertation-thesis-outline/

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How to Write a Dissertation | A Guide to Structure & Content

A dissertation or thesis is a long piece of academic writing based on original research, submitted as part of an undergraduate or postgraduate degree.

The structure of a dissertation depends on your field, but it is usually divided into at least four or five chapters (including an introduction and conclusion chapter).

The most common dissertation structure in the sciences and social sciences includes:

• An introduction to your topic
• A literature review that surveys relevant sources
• An explanation of your methodology
• An overview of the results of your research
• A discussion of the results and their implications
• A conclusion that shows what your research has contributed

Dissertations in the humanities are often structured more like a long essay , building an argument by analysing primary and secondary sources . Instead of the standard structure outlined here, you might organise your chapters around different themes or case studies.

Other important elements of the dissertation include the title page , abstract , and reference list . If in doubt about how your dissertation should be structured, always check your department’s guidelines and consult with your supervisor.

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Table of contents

Acknowledgements, table of contents, list of figures and tables, list of abbreviations, introduction, literature review / theoretical framework, methodology, reference list.

The very first page of your document contains your dissertation’s title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo. Many programs have strict requirements for formatting the dissertation title page .

The title page is often used as cover when printing and binding your dissertation .

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The acknowledgements section is usually optional, and gives space for you to thank everyone who helped you in writing your dissertation. This might include your supervisors, participants in your research, and friends or family who supported you.

The abstract is a short summary of your dissertation, usually about 150-300 words long. You should write it at the very end, when you’ve completed the rest of the dissertation. In the abstract, make sure to:

• State the main topic and aims of your research
• Describe the methods you used
• Summarise the main results
• State your conclusions

Although the abstract is very short, it’s the first part (and sometimes the only part) of your dissertation that people will read, so it’s important that you get it right. If you’re struggling to write a strong abstract, read our guide on how to write an abstract .

In the table of contents, list all of your chapters and subheadings and their page numbers. The dissertation contents page gives the reader an overview of your structure and helps easily navigate the document.

All parts of your dissertation should be included in the table of contents, including the appendices. You can generate a table of contents automatically in Word.

If you have used a lot of tables and figures in your dissertation, you should itemise them in a numbered list . You can automatically generate this list using the Insert Caption feature in Word.

If you have used a lot of abbreviations in your dissertation, you can include them in an alphabetised list of abbreviations so that the reader can easily look up their meanings.

If you have used a lot of highly specialised terms that will not be familiar to your reader, it might be a good idea to include a glossary . List the terms alphabetically and explain each term with a brief description or definition.

In the introduction, you set up your dissertation’s topic, purpose, and relevance, and tell the reader what to expect in the rest of the dissertation. The introduction should:

• Establish your research topic , giving necessary background information to contextualise your work
• Narrow down the focus and define the scope of the research
• Discuss the state of existing research on the topic, showing your work’s relevance to a broader problem or debate
• Clearly state your objectives and research questions , and indicate how you will answer them
• Give an overview of your dissertation’s structure

Everything in the introduction should be clear, engaging, and relevant to your research. By the end, the reader should understand the what , why and how of your research. Not sure how? Read our guide on how to write a dissertation introduction .

Before you start on your research, you should have conducted a literature review to gain a thorough understanding of the academic work that already exists on your topic. This means:

• Collecting sources (e.g. books and journal articles) and selecting the most relevant ones
• Critically evaluating and analysing each source
• Drawing connections between them (e.g. themes, patterns, conflicts, gaps) to make an overall point

In the dissertation literature review chapter or section, you shouldn’t just summarise existing studies, but develop a coherent structure and argument that leads to a clear basis or justification for your own research. For example, it might aim to show how your research:

• Addresses a gap in the literature
• Takes a new theoretical or methodological approach to the topic
• Proposes a solution to an unresolved problem
• Advances a theoretical debate
• Builds on and strengthens existing knowledge with new data

The literature review often becomes the basis for a theoretical framework , in which you define and analyse the key theories, concepts and models that frame your research. In this section you can answer descriptive research questions about the relationship between concepts or variables.

The methodology chapter or section describes how you conducted your research, allowing your reader to assess its validity. You should generally include:

• The overall approach and type of research (e.g. qualitative, quantitative, experimental, ethnographic)
• Your methods of collecting data (e.g. interviews, surveys, archives)
• Details of where, when, and with whom the research took place
• Your methods of analysing data (e.g. statistical analysis, discourse analysis)
• Tools and materials you used (e.g. computer programs, lab equipment)
• A discussion of any obstacles you faced in conducting the research and how you overcame them
• An evaluation or justification of your methods

Your aim in the methodology is to accurately report what you did, as well as convincing the reader that this was the best approach to answering your research questions or objectives.

Next, you report the results of your research . You can structure this section around sub-questions, hypotheses, or topics. Only report results that are relevant to your objectives and research questions. In some disciplines, the results section is strictly separated from the discussion, while in others the two are combined.

For example, for qualitative methods like in-depth interviews, the presentation of the data will often be woven together with discussion and analysis, while in quantitative and experimental research, the results should be presented separately before you discuss their meaning. If you’re unsure, consult with your supervisor and look at sample dissertations to find out the best structure for your research.

In the results section it can often be helpful to include tables, graphs and charts. Think carefully about how best to present your data, and don’t include tables or figures that just repeat what you have written  –  they should provide extra information or usefully visualise the results in a way that adds value to your text.

Full versions of your data (such as interview transcripts) can be included as an appendix .

The discussion  is where you explore the meaning and implications of your results in relation to your research questions. Here you should interpret the results in detail, discussing whether they met your expectations and how well they fit with the framework that you built in earlier chapters. If any of the results were unexpected, offer explanations for why this might be. It’s a good idea to consider alternative interpretations of your data and discuss any limitations that might have influenced the results.

The discussion should reference other scholarly work to show how your results fit with existing knowledge. You can also make recommendations for future research or practical action.

The dissertation conclusion should concisely answer the main research question, leaving the reader with a clear understanding of your central argument. Wrap up your dissertation with a final reflection on what you did and how you did it. The conclusion often also includes recommendations for research or practice.

In this section, it’s important to show how your findings contribute to knowledge in the field and why your research matters. What have you added to what was already known?

You must include full details of all sources that you have cited in a reference list (sometimes also called a works cited list or bibliography). It’s important to follow a consistent reference style . Each style has strict and specific requirements for how to format your sources in the reference list.

The most common styles used in UK universities are Harvard referencing and Vancouver referencing . Your department will often specify which referencing style you should use – for example, psychology students tend to use APA style , humanities students often use MHRA , and law students always use OSCOLA . M ake sure to check the requirements, and ask your supervisor if you’re unsure.

To save time creating the reference list and make sure your citations are correctly and consistently formatted, you can use our free APA Citation Generator .

Your dissertation itself should contain only essential information that directly contributes to answering your research question. Documents you have used that do not fit into the main body of your dissertation (such as interview transcripts, survey questions or tables with full figures) can be added as appendices .

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

• Algorithms & data structures
• Artificial intelligence ( AI )
• Computer networking
• Database systems
• Human-computer interaction
• Information security (IS)
• Software engineering
• Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

• An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
• A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
• An evaluation of machine learning algorithms used for recommender systems in streaming services
• A review of approximation algorithm approaches for solving NP-hard problems
• An analysis of parallel algorithms for high-performance computing of genomic data
• The influence of data structures on optimal algorithm design and performance in Fintech
• A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
• A comparison of streaming algorithm performance for the detection of elephant flows
• A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
• Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
• Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
• A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
• A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
• Exploring the feasibility of applying information theory to feature extraction in retail datasets.
• Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

• Applying deep learning algorithms for speech recognition in speech-impaired children
• A review of the impact of artificial intelligence on decision-making processes in stock valuation
• An evaluation of reinforcement learning algorithms used in the production of video games
• An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
• An analysis of the ethical and social implications of artificial intelligence-based automated marking
• The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
• An examination of the use of artificial intelligence in orthopaedic surgery
• The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
• An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
• A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Topics & Ideas: Networking

• An analysis of the impact of 5G technology on internet penetration in rural Tanzania
• Assessing the role of software-defined networking (SDN) in modern cloud-based computing
• A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
• Exploring the influence of cloud computing on security risks in fintech.
• An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
• Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
• An evaluation of the challenges and opportunities in 6G wireless network adoption
• The role of network congestion control algorithms in improving network performance on streaming platforms
• An analysis of network coding-based approaches for data security
• Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Topics & Ideas: Database Systems

• An analysis of big data management systems and technologies used in B2B marketing
• The impact of NoSQL databases on data management and analysis in smart cities
• An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
• Exploring the role of data warehousing and business intelligence in global consultancies
• An analysis of the use of graph databases for data modelling and analysis in recommendation systems
• The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
• An examination of the challenges and opportunities of distributed databases in supply chain management
• Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
• An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
• Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

• An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
• An exploration of how artificial intelligence is changing human-computer interaction patterns in children
• An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
• Assessing the influence of virtual and augmented reality on consumer purchasing patterns
• An examination of the use of gesture-based interfaces in architecture
• Exploring the impact of ease of use in wearable technology on geriatric user
• Evaluating the ramifications of gamification in the Metaverse
• A systematic review of user experience (UX) design advances associated with Augmented Reality
• A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
• Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Topics & Ideas: Information Security

• A bibliometric review of current trends in cryptography for secure communication
• An analysis of secure multi-party computation protocols and their applications in cloud-based computing
• An investigation of the security of blockchain technology in patient health record tracking
• A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
• A systematic review of secure data storage solutions used for cloud computing in the fintech industry
• An analysis of intrusion detection and prevention systems used in the healthcare sector
• Assessing security best practices for IoT devices in political offices
• An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
• A comparative study of digital signature schemes adoption in property transfers
• An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

• A study of agile software development methodologies and their impact on project success in pharmacology
• Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
• A study of the impact of DevOps practices on software development and delivery in the healthcare sector
• An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
• A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
• An investigation of software testing techniques and methodologies for subscription-based offerings
• A review of software security practices and techniques for protecting against phishing attacks from social media
• An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
• Exploring the impact of software development outsourcing on project success in multinational contexts
• An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

• An array-based optimization framework for query processing and data analytics (Chen, 2021)
• Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
• Embedding constructural documentation in unit tests (Nassif, 2019)
• PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
• Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
• Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
• Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
• Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
• Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
• Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
• Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
• A state-based approach to context modeling and computing (Yue, 2019)
• A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
• HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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School of Engineering and Informatics (for staff and students)

Finding a topic

It is the responsibility of the student to identify a suitable project topic.

This will require reading, investigating research areas in informatics, locating relevant research papers, and talking to people about your interests. You can also look at individual faculty members' project entries in the Master's project database . You can make use of anyone's office hour and also meet with your degree programme convenor. You can also propose your own topic but need to find someone willing to supervise it. Look up the web pages of individual research supervisors , to find out whether your interests match those of a someone who might be willing to supervise you.

You are positively encouraged to see a project with a commercial/industrial flavour. If you can find an industrial sponsor or even host, that would be good, although you will still need an academic supervisor. The University does not have any claim on intellectual property generated from a student's (sole) work, but you should talk with your academic supervisor if you have any queries about this. You should also seek advice before entering into any formal agreement with a company.

If your project makes a contribution to research, you might be able to publish a paper based on it. But in any case, do not be concerned with publishing or commercial exploitation until after your project is finished - your primary aim should be to produce an excellent dissertation.

ITBM students may also like to view the research interests of faculty members in SPRU, and SPRU research topics . However, you should only consider SPRU topics that are relevant to the modules you take on ITBM delivered by SPRU. These are modules focused around Technology, Innovation and Management. There will be a generic SPRU project listed on the Master's project database that points you to relevant SPRU faculty convened to supervise such projects.

Supervision

Finding a supervisor: During April you should find a supervisor. This is a matter of negotiation, since choice of supervisor depends on what topic you have identified. See above, and look at individual faculty members' project entries in the Master's project database. Note that each supervisor is allocated a number of students (load) to supervise. They may supervise more than this number of students - especially if they are interested in a project you propose - but do not have to. You are thus advised to contact several suitable supervisors to discuss possible supervision and potential topics as early as you can. You should also contact them after they have reached their load as they may be happy to supervise a project that interests them. Similarly, if a member of faculty has a load of 0, it means they may nevertheless be willing to supervise a project in a particular area of interest to them. As well as the database, it is also worthwhile visiting supervisors' web pages to find out more about their areas of research.

You should talk to multiple supervisors to keep your options open. Supervisors will generally discuss topics with several students and then choose which to supervise. Once you have selected suitable topics or supervisors, pick the topic through the database, or propose your own project. However, also email supervisors to arrange to meet up to discuss your project (or to ask their advice on what topic to pick).

To provide inspiration on the range of topics available, the database contains projects proposed by past faculty. If you find a topic through the search facility, please check that the supervisor is on the 'supervisor list' . If they are not there, they are no longer supervisors. Feel free to use these projects as inspiration to propose your own project but note that it might be too specific to the old faculty member.

If you are a first year part-time student, you still need to have a supervisor. We give 1st year part-time students supervisors so they can start thinking about their projects but the title is not set in stone, and can be changed at a later date (as can the supervisor if things don't work out), so if you don't have a clear idea of what to do, see who is working in an area of interest to you and discuss things with them.

Supervision time: Your supervisor is expected to devote around half an hour per fortnight to you (including reading drafts, etc). It is up to you to arrange with them how you use this time.

Supervision schedule: You should view supervision as a kind of contract between you and your supervisor. You are advised to draw up an agreement at the start of the process (which can be reviewed/modified as the project progresses) - and it is in your interest to make the agreement as formal as possible. This of course puts pressure on you, too, but on the other hand you will have a better guarantee that you will get what you want. It is dangerous to leave supervision as something informal, arranged on an 'ad hoc' basis.

Supervisor availability during the summer: Don't forget that after the end of July, faculty members are often away on holiday, at conferences, or at home working on their own research. Find out when your supervisor is likely to be away and plan accordingly. In any case, if you want your supervisor to give feedback on any drafts, allow them plenty of time. The suggested dissertation timetable takes account of this.

Note that failure to seek adequate supervision is one of the main reasons for low grades on the dissertation. It is up to you to ensure that you make use of your share of your supervisor's time.

Suitability of the project

It is up to you and your supervisor to check the guidelines for dissertation content and marking criteria (see left-hand links), to ensure your proposed project is suitable for your course of study. If you are in any doubt, check with the convenor of your degree course.

Conducting ethical research

You should read the Research Governance Procedures on conducting ethical research and take steps to obtain approval from the Research Governance Committee where this is required.

The dissertation

Read carefully the practical advice on dissertations , which includes requirements for submission, and word length, as well as recommended format. For guidance on allocating time to your project work and dissertation writing, see the suggested dissertation timetable .

School Office: School of Engineering and Informatics, University of Sussex, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ [email protected] T 01273 (67) 8195 School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00 School Office location [PDF 1.74MB]

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221 Interesting Thesis Topics for IT Students

Did you know that one of the most important parts of writing your dissertation is finding the best topic possible? You are probably having serious problems finding a topic for your thesis. After all, the thesis topics IT students are looking for are pretty rare. The reality is that in the IT field, most topics have already been written about. There are few things left to write it seems. Well, things are a bit different. We are here to assure you that you can find thesis topics for IT students. Also, we want to assure you that it is not at all difficult to find an interesting topic that you can write an engaging paper about. We will provide you with 21 such topics shortly. College students can use our topics for free; we are very happy to help!

Writing Your Thesis and Looking for Dissertation Topics?

• Why Thesis Topics for IT Students Are Important?
• Fresh Dissertation Topics for You

Best IT Thesis Topics in Artificial intelligence

Exceptional it thesis topics in computer science and engineering, refreshing it thesis topics in communication and media, top it thesis topics on food technology, thoughtful it thesis topics on technology and human identity, top it thesis topics on pharmaceutical technologies, it thesis topic ideas on energy power technologies, it thesis topics on medical devices and diagnostics, it thesis topics on biotechnology, more interesting it thesis topics for you, need more it dissertation topics.

As you are probably already aware, the IT field is advancing rapidly. Advancements are made almost daily in technology, including information technology. This is why so many students are looking for fresh 2022 dissertation topics. They want to write about the latest technologies and the latest gadgets. Of course, one can go online and find various 2022 thesis topics IT students would find impressive. You will probably find some that are relatively decent. But be aware that the evaluation committee will most certainly not be impressed by decent topics. They want something new. They want something that can pique their interest. They want to LEARN something from you. And they want to award you with some bonus points. Why not take them?

Why Thesis Topics for IT Students Are Important

Did you ever wonder why so many people dedicate so much time to finding a great topic? Probably not. Let’s shed some light on this. College students are looking for IT dissertation topics because they want bonus points. The topic is the first thing the evaluation committee sees. It is the most important part of your paper. As such, it must be interesting, engaging, and also helpful. It must show that you have put in the effort to write the dissertation. Awe the admission committee and you will surely get bonus points. Even if your dissertation is not the best, you will still get a good score if the topic you choose is exceptional. But engaging IT dissertation topics are difficult to come by. Most of your classmates have already picked the simple ones. But you are not like the rest of your class, are you? You want to be original and you want to make a lasting impression on the professors. This is why you need to take a look at our fresh dissertation topics.

21 Fresh Dissertation Topics for You (Absolutely Free)

Without further ado, here are the 21 thesis topics for IT students that we think are the most interesting and engaging:

• Conducting virtual business in the era of 3D Internet – the business of the future
• Analyzing e-tourism services in the UK: Factors that Influence Customer Satisfaction
• Mobile government applications and their benefits
• Producing believable emotions using AI systems for e-commerce
• The future of YouTube and multimedia distribution platforms
• Analyzing the impact of media technology on child development throughout the school
• Integrating an ERP system with a cloud service
• Developing a tool to analyze keystrokes and use the data for password security
• Analyzing critical vulnerabilities of the Android mobile operating system
• Analyzing the impact of e-publishing on libraries (one of the best thesis topics for IT students)
• In-depth analysis of the fault-recovery and redundancy in modern 4G mobile networks
• The impact of full-text databases on Google as a search engine
• Creating software capable of reading human emotions using a webcam
• How effective is face recognition as a security measure?
• Analyzing critical security vulnerabilities in IT systems used at the government level
• Does curbing software piracy in developing countries have any negative results?
• Using BitTorrent systems for faster multimedia delivery and playback
• How safe are whistleblowers operating on the Dark Web? (one of the thesis topics IT students are usually reluctant to write about)
• Building a Dark Web crawler that indexes onion sites based on specific criteria
• Creating a modern Tetris game in C# using OpenGL
• The advantages brought by mobile working to IBM and its employees

If you want to write a relevant research topic, consider writing about Artificial intelligence topics (AI). AI is a relevant phenomenon, and here is a look at some ideas of artificial intelligence that you should look into.

• Is deep learning an effective way of dealing with deep learning?
• How do artificial neural networks affect deep learning?
• Discuss the areas of life machine learning that are most influential.
• Ways to select the best algorithm for machine learning.
• How does NASA use robotics?
• Discuss the process of using natural languages to create a unique language.
• How does artificial intelligence affect computer vision?
• Compare and contrast the effects of supervised vs. unsupervised machine learning.
• The effects of reinforcement machine learning algorithms.
• Model-based vs. Model-free reinforcement learning algorithms.
• Deep learning as a subject of machine learning.
• Comparison between single vs. Multi-agent reinforcement learning.
• Ways that the social robots interact with the humans
• How do chatbots aid in the natural language processing system?
• Five ways of computer vision application.
• What is the recommended systems approach?
• What is the interconnection of the Internet of things and artificial intelligence?
• What amount of data is generated by the Internet of things devices?
• Compare and contrast content-based recommendation vs. collaborative filtering.
• What makes the collaborative filtering system stand out?

Computer science and engineering combine two different yet interconnected worlds of machines. The use of computer science uses the computer’s brain. It is, in most cases, used to include areas of studies like programming language and algorithms. Here is a list of research topics in computer science and engineering that you can use.

• In what ways is the virtual and human perception connected?
• What is the future of computer science-assisted education?
• What are computer science and high-dimensional data modeling?
• The imperative vs. declarative languages.
• Explain the use of blockchain and AI algorithmic regulations.
• How has blockchain technology impacted the banking industry?
• In what way does machine architecture use to affect the efficiency of code?
• What are the languages of parallel computing?
• Explain the way that mesh generation is used for computational domains.
• The cyber-physical optimization vs. the sensor networks.
• Explain the development of computer graphics in a photorealistic rendering case.
• What are game theory and network economics?
• What are the most effective cryptographic protocols?
• An overview of the software security types.
• It is possible to eliminate phishing.
• Floating point and programming language
• In what ways is the mesh generation used for computational domains?
• How to get the persistent data structure optimization
• In what ways does computer thinking affect science?

One of the first areas that technology affected was communication. With technology, media is used for social interactions, business development, and educational purposes. Here are exciting ideas to use when researching your IT thesis paper.

• What is the impact of ethics on communication?
• How the development of communication through the computer has evolved in the past decade.
• In what ways has social media impacted communication?
• What role do media play during a disaster? Does it increase panic or help in reducing it?
• Compare and construct the authority’s media presence in different countries.
• Will people start preferring newspapers to new media again?
• In what ways has the Internet changed media?
• Discuss communication networks.
• What impact do social media have on super bowl ads?
• What are the new content marketing ideas?
• What is the impact of media exposure on adolescents?
• In what ways do people use hype in the media?
• Discuss the media and freedom of speech.
• Is it possible for people to build trustful relationships in virtual communication?
• What measures can you put to maintain privacy on social media?
• In what ways have computers changed interpersonal communications?
• What is yellow journalism in new media?
• In what ways do enterprises use ICT to get a competitive advantage?
• Is it possible to live without mass media?
• What are the impacts of mass media and morality in the 21st century?

If you are searching for a qualitative research topic about technology in the food industry, here is a list of ideas you can use.

• What are the machines used in the food industry?
• In what ways do robots improve safety in butcheries?
• 3D printing and the food industry.
• Is 3D printing the best solution to offer people with swallowing disorders?
• About drones and precision agriculture.
• In what ways does robotics help in creating eco-friendly food packages?
• Is micro packaging the future?
• Research on the development of edible cling film.
• The solution that technology has to food waste.
• How do preservatives and additives impact the human gut microbiome?
• Physicochemical levels the effect of citric acid on orange juice.
• Compare and contrast vegetable oil in mass production.
• Time-temperature indicators and food industry.
• Farming: hydroponic vs. conventional farming.
• How is food safety a policy issue in agriculture today?
• Ways you can use to limit the detection of parasites in food.
• How is the baking industry evolving?
• How technology is used to eliminate byproducts in edible oils production
• About cold plasma and biofilm.
• Ways to extract good antioxidant peptides are extracted from plants.

The ethical issues surrounding the enhancement technology are intertwined with the questions of human identity and the proper trajectory of human life. Here is a list of thesis ideas you can use in your research.

• Does technology make human life worth living than animal life?
• The dignity of human life concerning technology explained?
• In what ways should humans be observed in informational technology?
• Should tech and scientific investigations on humans have a limit?
• What is the importance of DNA information in forming our identity?
• Is Ancestry DNA testing important?
• Explain multi-racial identification.
• Can scientific investigations tell us what self-care is?
• In what ways will virtual reality technology change us?
• Should there be a limit on the research in virtual reality? The possibility of virtual reality being the future.
• What are the benefits of using virtual reality technologies?
• What is the importance of finding alternative treatments for mental illness other than drugs?
• Has the increase in technology affected the rise of mental illness?
• Ways technology can be used to control addiction.
• Pros and cons of using technology to control brains.
• 7 social dangers of the brain controlling technology.
• Does science dictate who we are?
• What has led to the increase in mental illness among tech enthusiasts?
• Can tech-related mental illness be cured?
• What is the relationship between technology and drug addiction?

Companies are using technology to search for ways they can use it to reduce costs and boost effectiveness by doing pharmaceutical technology research. Impress your lecturer by choosing one of the research topics discussed below

• What is the effectiveness of medical therapy management?
• Explain how prior electronic authorization is a pharmacy technology trend.
• Explain the medical therapy management and the health information exchanges.
• How can electronic prescribing reduce the possibility of drug abuse issues?
• Ways that pharmacists help with meaningful tech use.
• Discuss various pharmaceutical technologies.
• Pharmaceutical technology research.
• What are specialty medications?
• Vaccines for AIDS: can it be developed?
• Ways that the prescription drug monitoring program works.
• How do specialty pharmacies use NCPDP?
• Why are patients interested in real-time pharmacy?
• Phenotypic screening research.
• Impact of ERP with pharmaceutical company’s analytics.
• Pharmaceutical technologies: data security.
• About DNA-encoded library technology.
• Pro and cons antibiotics vs. superbugs.
• How does the body-on-a-chip approach be used for personalized medicines?
• Modern cannabidiol medicine and pain management.
• What is the future of cannabidiol medicine?

It is not possible to have a technology process without energy. That is the reason that scientists are always looking for ways they can improve energy power technologies. So, if you are looking for thesis topics you can use to impress your lecturer, here is a list of power technology research you can use.

• Ways that fuel cells can be used for the generation of stationary power.
• Compare the energy density of lithium-ions and lithium-air batteries.
• Gasoline vs. Lithium-air batteries.
• The pros and cons of renewable energy use.
• How does the UAE use nuclear power?
• Research on India power installation.
• Increase in gas prices and alternative energy sources.
• How can hydrogen energy be used to transform the methods or energy?
• Is hydrogen energy the future?
• About the thermal storage and AC systems.
• In what ways can you use load balance using a smart grid?
• How can distributed energy generation optimize power waster?
• Is the smart energy network a solution to climate change?
• What is the future of tidal power?
• What is the possibility of 3D printing micro stirring engines?
• In what ways can robots be used to adjust the solar panel weather?
• Explain advanced biofuel and algae.
• In what ways can photovoltaic glass be fully transparent?
• Compare the different third-generation biofuels.
• Is space-based solar power a myth or the reality of the future?

The innovation of medicine and technology helps to improve life expectancy. If you feel that saving lives is your purpose, here are some thesis topics you can use in your research paper.

• The effects of robotic surgeries.
• Explain defibrillator & cardiac resynchronization therapy.
• How smart can inhalers be used as a new solution to asthma treatment?
• Genetic counseling: ways of preventing diseases.
• What are the benefits of electronic medical records?
• How is Erythrocytapheresis used to treat sickle cell disease?
• The reason that drug-eluting stents fail.
• An overview of the dissolved brain sensors.
• What are the benefits of 3D printing for medical purposes?
• How soon will it be possible to create an artificial organ?
• Research on wearable technologies in health care.
• Precision medication based on genetics.
• The importance of using virtual medicine devices for educational purposes.
• Research on the development of telemedicine.
• How is technology impacting cancer treatment?
• Is genome editing safe?
• How is the electronic diagnosis tool evolving?
• Brain-machine interface, the future.
• How does the use of wireless communication help medical professionals in hospitals?
• Ten ways wearable technology impacts the medical industry.

The development of biotechnology allows people to cure diseases and help with new machines. Here are some ideas of interesting topics you can use for your biotechnology thesis research.

• Ten impacts of biotechnology in farming.
• How does biotechnology lead to a self-sufficient protein supply?
• Evapotranspiration vs. Evaporation.
• DNA cloning and a Southern blot.
• How are personalized drugs made?
• What is pharmacogenetics?
• Is cloning playing God?
• How is pharmacogenetics used to get cancer medicines?
• Is it possible to control our genetics?
• How much genetic control do humans have?
• Based on genetics, at what point do we cease to be human?
• Research on bioethics and stem cells.
• Definition of genetic engineering.
• Gene therapy and genetic engineering.
• Ten benefits and risks of genetic engineering.
• How does plant genetic enhancement help preserve scarce plants?
• South Africa Y-chromosome genotyping.
• Ways technology is used in the creation of new vaccines.
• How does Nanotechnology help in treating HIV?
• An overview of Genes in heavy metal tolerance.

Your IT thesis does not have to be boring. Here is a list of interesting thesis topics that will impress your lecturer.

• Ways that you can eliminate heat-resistant microorganisms with ultraviolet light.
• In what ways can pesticides be used to diagnose cancer?
• How can the smeller nuclear reactors be more efficient?
• An overview of renewable energy technologies.
• Explain electronic use in the food industry and agriculture.
• The harm of polyphenols in food.
• Hope for anticancer nanomedicine.
• Does increasing military technology make use safe?
• What is the importance of military research?
• In what ways can technology be used to gauge intelligence?
• In what ways is Google search changing us?
• Blogs vs. books.
• How is teaching IT research skills important today?
• Should parents and schools encourage or discourage social media?
• Does Google affect the attention span of young people? What is the borderline in hardware and software cloud computing?
• What will be the impact when everything moves to the cloud?
• How will virtual reality change education?
• If the computer takes over most of our tasks, what will humans do?
• What will computer language be important in the future?
• What are the benefits of robots in health care?

Of course, there are dozens of other thesis topics on which students could write a paper. Some companies specialize in providing college students with entire lists of topics on a specific subject. You just need to contact an online academic writing company and tell its writers what you need. These people have extensive experience in the IT industry and have probably written dozens of dissertations. They can help you with more dissertation topics. And the best part is that some of these online services are quite affordable. An exceptional topic is worth the money – guaranteed!

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School of Computing & Informatics

Staff in School of Computing and Informatics

Master of science in information technology.

Introduction

The Master of Science in Information Technology is a unique post graduate program that equips candidates with the theory and practice of Information Technology. It aims to meet the increasing demand for IT professionals. The program blends theory with the latest state-of-the-art Industry-based courses, thus adequately preparing the candidates to make relevant contributions towards the national goal of industrialization.

Specialization Electives

Students are to choose two electives in consultation with the department from any one of the specialization options below. The department will advice on which options will be on offer at any given time. The MSc IT theses should be done in the specialization option chosen.

Information Technology Management Option

• MIT 841E: Internet Technologies
• MIT 842E: E-Commerce Technologies
• MIT 843E: Web Technologies & Applications
• MIT 844E: Software project Management
• MIT 845E: Global e-Business Technology
• MIT 846E: E-learning Technologies

Software Design & Management Option

• MIT 842E: E-commerce technologies
• MIT 851E: Service oriented architecture
• MIT 852E: Models of Software Systems
• MIT 853E: Applied Cryptography
• MIT 854E: Dependable Software & Systems
• MIT 844E: Software Project Management

Information Security Option

• MIT 842E: E-Commerce Security
• MIT 851E: Information Assurance Policy
• MIT 862E: Cyber security policy
• MIT 863E: Incident response
• MIT 853E: Applied cryptography
• MIT 864E: Internet Security

Networking Technologies and Management option

• MIT 870E:Wireless Networking
• MIT 871E: Wireless Protocols and Security systems
• MIT 872E:Distributed Systems
• MIT 873E: Network Operating Systems
• MIT 874E: Telecommunication and Mobile computing

Quick Links

• Academic Calender
• Institutional Repository
• E-Learning Portal
• Kibu Online Library Catalogue
• Online Course Evaluation by Students
• Student Portal

Postal Address: P.O. Box 1699-50200 BUNGOMA – KENYA Telephone Number: +254708085934 Email: [email protected]

© Kibabii University 2024. All Rights Reserve

MSc theses online

MSc theses online is a collection of students' theses successfully defended at Wageningen University.

The database is updated daily. Most of the MSc theses are from 2010 onwards. Not all MSc theses are available in this database.

Use the searchbox below or go directly to MSc theses online .

In MSc theses online you'll find publicly available MSc students' theses defended at Wageningen University. Mostly from 2010 onwards.

Recent MSc theses

Integrated water resources management on small island developing states : a case study on lac bay bonaire, inheritance for a magic population of peanut: a simulation study, aerosols and surface shortwave radiation in cumulus cloud fields.

Collecting online MSc theses started in 2010. Therefore, most of the MSc theses in this collection have a publication date of 2010 or later. In some cases, e.g. embargo, the full text of a MSc thesis found in this repository is not yet available. To find more Wageningen University MSc theses, including older hard copies, use the WUR Library Search and search by title and/or author. WUR chair groups have different policies regarding the publication of student theses. Therefore not all MSc theses are available.

Cyber Security Hub

• Research projects
• PhD research

MSc thesis on Cyber Security related topics defended at the University of Tartu :

• Dissanayake. P.G., "A Comparison of Security Risk Analysis in the In-house IT Infrastructure and Cloud Infrastructure for the Payment Gateway System"
• Mammadzada. K., "Blockchain Oracles"
• Matsalu. M., "The Development of Digital Forensics Workforce Competency on the Example of Estonian Defence League"
• Padur. K., "Information Security Risk Assessment in the Context of Outsourcing in a Financial Institution"
• Puniani. R., "Conceptualization of a Blockchain Based Voting Ecosystem in Estonia"
• Pure. I., "An Automated Methodology for Validating Web Related Cyber Threat Intelligence by Implementing a Honeyclient"
• Produit. B.D., "Optimization of the ROCA (CVE-2017-15361) Attack"
• Sarapuu. D., "Penetration Testing of Glia’s Web Application"
• Seeba. M., "A Specification of Layer-Based Information Security Management System for the Issue Tracking System"
• Simisker. M., "Security of Health Information Databases"
• Tõnisson. R., "Tighter Post-quantum Secure Encryption Schemes Using Semi-classical Oracles"
• Yerokhin. M., "Multi-level Policy-aware Privacy Analysis"

See more at the thesis database .

• Abbasi A., GDPR Implementation in an Airline’s Contact Center
• Akande A., Disruptive Power of Blockchain on the Insurance Industry
• Avramenko V., Cost-Benefit Analysis of a Hybrid Terrorist Attack on a Power Plant

• Affia A-A. O., Security Risk Management of E-commerce Systems
• Çelebi I., 
Privacy Enhanced Secure Tropos:
 A Privacy Modeling Language for GDPR Compliance
• Cherednychenko O., Designing Visually Effective and Intuitive Modelling Notations for Security Risk Management
• Elazazy A. A. A. A., HoneyProxy Implementation in Cloud Environment with Docker Container HoneyFarm
• Filipczak K. M., Testing the Security Awareness using Open-Source Tools: Spear Phishing
• Islami L., Assessing Generational Differences in Susceptibility to Social Engineering Attacks. A Comparison Between Millennial and Baby Boomer Generations
• Jüristo K., How to Conduct Email Phishing Experiments
• Kaasik M., A Tool for Supporting Multi-perspective System Development Through Security Risk Management
• Kopylash V., An Ethereum-Based Real Estate Application with Tampering-Resilient Document Storage
• Luomala M., Evaluation of Efficiency of Cybersecurity
• Mendelman K., Fingerprint Organization Using Metadata of Public Documents
• Mitt S., Blockchain Application - Case Study on Hyperledger Fabric
• Mohamed G. Z. A. R., Detecting Social Spamming on Facebook Platform
• Nugis R., Forensic Data Properties of Digital Signature BDOC and ASiC-E Files on Classic Disk Drives
• Orange A., Blockchain-based Provenance Solution for Handcrafted Jewellery
• Oras A., Online Cyber Security Exercise to Evaluate and Improve Individual Technical Specialists’ Cyber Incident Reporting Skills
• Rebane R.-M., Post-Quantum Secure Time-Stamping
• Ristikivi A., Ensuring the Integrity of Electronic Health Records
• Räni E., Prediction Model for tendencies in Cybercesurity
• Sing E., A Meta-Model Driven Method for Establishing Business Process Compliance to GDPR
• Shapaval R., Security Risk Management for the IoT systems
• Soonberg M., The Employee-Based Information Security Risks on the Example of the Estonian Literary Museum
• Sõgel K., Distributed Ledger Technology and External Mandatory Reporting in Banking Industry
• Velázquez J. A. S., ''Securing openHAB Smart Home Through User Authentication and Authorization'
• Värva I., Autonomy and Efficiency Trade-offs on an Ethereum-Based Real Estate Application
• Zaitsev A., Comparison of STS and ArchiMate Risk and Security Overlay
• AbuSeada W. M. F. A., Alternative Approach to Automate Detection of DOM-XSS Vulnerabilities
• Bascuñana G. F., Method for Effective PDF Files Manipulation Detection
• Brodar G., Analysis of Exploit-kit Incidents and Campaigns Through a Graph Database Framework
• Djagilev V., Android Chat Application Forensic Process Improvement & XRY Support
• Ellervee A., A Reference Model for Blockchain-Based Distributed Ledger Technology
• Jõgi M., Establishing, Implementing and Auditing Linux Operating System Hardening Standard for Security Compliance
• Kinger M., Enterprise Cloud Security Guidance and Strategies for Enterprises
• Kuldmaa A., On Secure Bulletin Boards for E-Voting
• Lahesoo P., The Electronic Evidence Examination Reporting System by the Example of West Prefecture
• Lashkarara S., Managing Security Risks Using Attack-Defense Trees
• Maennel K., Improving and Measuring Learning Effectiveness at Cyber Defence Exercises
• Nafies A., A New Heuristic Based Phishing Detection Approach Utilizing Selenium Web-driver
• Sivalingapandi D., Comparison and Alignment of Access Control Models
• Oksvort R., A Prototype for Learning Privacy-Preserving Data Publishing
• Pappas S., Investigation of JTAG and ISP Techniques for Forensic Procedures
• Proskurin A., Adapting a Stress Testing Framework to a Multi-module Security-oriented Spring Application
• Treier D., Research and Proof of Concept of Selected ISKE Highest Level Integrity Requirements
• Tschida C., The Way to the Specialist and Management Level of Cyber Hygiene Initiative
• Tsintsabadze L., A Prototype to Analyze Role- and Attribute-Based Access Control Models
• Vallaots A., Federation of Cyber Ranges
• Vunk M., A Framework for Assessing Organisational IT Governance Risk and Compliance
• Allyson I. H., Designing Digital Forensics Challenges for Multinational Cyber Defense Exercises
• Duran S. A. U., Organizational Interaction Mechanisms Affecting Strategic Decision-Making During Cybercrime Investigations
• Herrera V. L. C., A Comprehensive Instrument for Identifying Critical Information Infrastructure Services
• Martínez F. C. A., Tabletop Exercise For Cybersecurity Educational Training; Theoretical Grounding and Development
• Pantoja V. C. A., Analysis of the Cyber Attacks against ADS-B Perspective of Aviation Experts
• Pinto R. Y. A., Development of National Cyber Security Strategies (NCSSs), and an Application of Perspective to the Colombian Case
• Rozario V. I. D. J., Model-based Role Based Access Control for RESTful Spring applications
• Samarütel S., Revision of Security Risk-oriented Patterns for Distributed Systems
• Sarmiento B. S. A., Detection Solution Analysis for Simplistic Spoofing Attacks in Commercial Mini and Micro UAVs
• Sergeev A., Role Based Access Control as SecureUML Model in Web Applications Development with Spring Security
• Siim J., Secure and Efficient Mix-Nets
• Siim S., A Comprehensive Protocol Suite for Secure Two-Party Computation
• Sokk V., An Improved Type System for a Privacy-aware Programming Language and its Practical Applications
• Suarez M. D. D., Assessment of Web-based Information Security Awareness Courses
• Velasquez H. L. A., Colombia and the Intelligence Cycle in the 21st Century, the Digital Age
• Guler S., Secure Bitcoin Wallet
• Kiiver J., NFC Security Solution for Web Applications
• Kolk K., An Empirical Comparison of Approaches for Security Requirements Elicitation
• Rao S. P. Analysis and Mitigation of Recent Attacks on Mobile Communication Backend
• Rrenja A., Pattern Based Security Requirements Derivation with Security Risk-aware Secure Tropos
• Tursunova S., Comparing Security Risk-oriented Modelling Languages to Manage Social Engineering Risks
• Vaht M., The Analysis and Design of a Privacy-Preserving Survey System
• AbuLamddi M., Safety and Security Dependability Analysis
• Helbig C., An Experience Report of Eliciting Security Requirements from Business Processes
• Khilji W. A., Evaluation Framework for Software Security Requirements Engineering Tools
• Kurt S., Interplay of Misuse Case and Fault Tree Analysis for Security and Safety Analysis
• Okugbeni J., Security Implementation of Mission Control System for ESTCube-1 Satellite
• Pikma T., Auditing of Secure Multiparty Computations
• Preobrazenskaja A., Development of Security Risk Measurement Model within Misuse Cases and BPMN
• Teder T. Extracting Bole-based Access Control Models from Business Process Event Logs
• Tovstukha I., Management of Security Risks in the Enterprise Architecture using ArchiMate and Mal-activities
• Turban T., A Secure Multi-Party Computation Protocol Suite Inspired by Shamir’s Secret Sharing Scheme
• Altuhhova O., Developing System Security through Business Process Modelling
• Onchukova A., Transformation rules between MUC and MAD
• Pankova A., Insecurity of Transformation-Based Privacy-Preserving Linear Programming
• Pullonen P., Actively Secure Two-Party Computation: Efficient Beaver Triple Generation
• Rebane R., A Feasibility Analysis of Secure Multiparty Computation Deployments
• Tark K., Role Based Access Model in XML based Documents
• Cakabey O., Role-based Access Control Using Knowledge Acquisition in Automated Specification
• Khan N. H., A Pattern-based Development of Secure Business Processes
• Lakk H., Model-driven Role-based Access Control for Databases
• Soomro I. U., Alignment of Misuse Cases to ISSRM
• Turan Y., Extension and Application of Event-driven Process Chain for Information System Security Risk Management
• Chowdhury M. J. M., Modeling Security Risks at the System Design Stage: Alignment of Mal Activity Diagrams and SecureUML to the ISSRM Domain Model
• Seeba I., Adding a transformation language to the Cryptoanalyser
• Talviste R., Deploying secure multiparty computation for joint data analysis - a case study

ITC MSc theses M-GEO

Johan Wideroos

Gombos Zoran

The narration in my narrative work needs to be smooth and appealing to the readers while writing my essay. Our writers enhance the elements in the writing as per the demand of such a narrative piece that interests the readers and urges them to read along with the entire writing.

Finished Papers