it master thesis examples

Excellent Master Theses MBIT

You can find a full overview of all BIT theses here: https://essay.utwente.nl/view/programme/60025.html. Theses are scored based on the criteria in the assessment form for the Final Project . Below a few examples of theses that scored well. 

• Naik, Nilay Prashant (2023)  Application Portfolio Management Maturity : A Grounded Theory investigation on the processes and expected benefits.
• Man, T. (2022)  Modelling Security Architectures of Collaborative Networks.
• Versloot, C.W.A. (2019)  Amplifying the Analyst: Machine Learning Approaches for Buried Utility Characterization.
• Plant, O.H. (2019)  DevOps under control : development of a framework for achieving internal control and effectively managing risks in a DevOps environment.  
• Aggelen, J.M. van (2017)  Using virtual reality to support substance use disorder treatment in people with an intellectual disability.
• Franck, T. (2016)  Towards an Integrated Model of Smart Manufacturing Enterprises.
• Teerenstra, G.H.G. (2016)  The start of IT Governance in a Dutch Academic Medical Centre.  
• Brand, A. (2013). Improving interoperability between electric mobility and the electricity system - Towards a reference architecture for charging electric vehicles.
• Paagman, A.J.G.M. (2012). Only for the money?: Motives for introducing shared services in government organizations.
• Iankoulova, I.D. (2012). Business Intelligence for horizontal cooperation: Measuring the performance of a transformation network sharing cooperation between logistics companies.
• Groot, R.E.J. de (2012). IT-Based risks in advergame campaigns: A focus on fairness and privacy.
• Oude Maatman, R.B. (2011). Design and evaluate a deployment process for the ES benefits management method.
• Boot, M.N.S. (2011). Electronic retail payments at public events: An exploratory study into the feasibility of various electronic payment systems at public events.
• Wesselink, M.G. (2011). Requirements engineering in market-facing projects: A case study.
• Veen, E.R.G. van der (2011). Precedent for doing things differently: case studies of agile development of large, distributed outsourcing projects.
• Hoorn, R. van der (2011). Ensuring the pigs don’t chicken out: Improving the use of good practices in agile software development.
• Maranny, E.A. (2011). Stage Maturity Model of m-Government (SMM M-Gov): Improving e-Government performance by utilizing m-Government features.
• De Jong, F. (2009). The Right Governance Framework for Managing an Offshore IT Outsourcing Relationship.: The Shell Case.
• Koster, S.R. (2009 ). An evaluation method for Business Process Management products.
• Steen, B. (2009). Generation of optimal business processes from business rules.
• Brandhorst, C.J. (2008). Intelligente Elektronische Ondersteuning voor Huisartsen.
• Draaijer, R. (2008). Why Share? An empirical investigation of knowledge contribution within electronic networks of practice.  
• Linders, S. (2008). Opportunities and limitations of using SOA concepts and technologies for building BI applications: a Delphi Study.
• Oostrum, A.R. (2008). A service register as an information intermediary : towards a structured design approach for service registers.
• Elling, E. (2007). Tools for fun and fruitful meetings: don’t let meetings make you go bananas!

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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!

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any IT writing assignment you might have!

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How To Write A Dissertation Or Thesis

8 straightforward steps to craft an a-grade dissertation.

By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020

Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.  

In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.

How To Write A Dissertation: 8 Steps

• Clearly understand what a dissertation (or thesis) is
• Find a unique and valuable research topic
• Craft a convincing research proposal
• Write up a strong introduction chapter
• Review the existing literature and compile a literature review
• Design a rigorous research strategy and undertake your own research
• Present the findings of your research
• Draw a conclusion and discuss the implications

Step 1: Understand exactly what a dissertation is

This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.

So, what is a dissertation?

At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:

• Ask a very specific, well-articulated question (s) (your research topic)
• See what other researchers have said about it (if they’ve already answered it)
• If they haven’t answered it adequately, undertake your own data collection and analysis in a scientifically rigorous fashion
• Answer your original question(s), based on your analysis findings

In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:

• Started with a vague, poorly articulated question
• Not taken the time to see what research has already been done regarding the question
• Collected data and opinions that support their gut and undertaken a flimsy analysis
• Drawn a shaky conclusion, based on that analysis

If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.

The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.

If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!

Step 2: Find a unique, valuable research topic

As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…

A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:

Let’s take a closer look at these:

Attribute #1: Clear

Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.

Here’s an example of a clearly articulated research topic:

An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.

As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).

Need a helping hand?

Attribute #2:   Unique

Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).

For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.

One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.

Attribute #3: Important

Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.

For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.

So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊

Step 3: Write a convincing research proposal

Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.

So, what’s in a research proposal?

The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:

• You have a clearly articulated, unique and important topic (this might sound familiar…)
• You’ve done some initial reading of the existing literature relevant to your topic (i.e. a literature review)
• You have a provisional plan in terms of how you will collect data and analyse it (i.e. a methodology)

At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).

Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .

So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .

Step 4: Craft a strong introduction chapter

Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.

Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.

What’s the introduction chapter all about?

The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.

What goes into the introduction chapter?

This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:

• A brief background to the study, explaining the overall area of research
• A problem statement , explaining what the problem is with the current state of research (in other words, where the knowledge gap exists)
• Your research questions – in other words, the specific questions your study will seek to answer (based on the knowledge gap)
• The significance of your study – in other words, why it’s important and how its findings will be useful in the world

As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.

How do I write the introduction chapter, you ask? We cover that in detail in this post .

Step 5: Undertake an in-depth literature review

As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.

What’s the literature review all about?

There are two main stages in the literature review process:

Literature Review Step 1: Reading up

The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.

Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .

Literature Review Step 2: Writing up

Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:

• You need to synthesise the existing research , not just summarise it. In other words, you need to show how different pieces of theory fit together, what’s agreed on by researchers, what’s not.
• You need to highlight a research gap that your research is going to fill. In other words, you’ve got to outline the problem so that your research topic can provide a solution.
• You need to use the existing research to inform your methodology and approach to your own research design. For example, you might use questions or Likert scales from previous studies in your your own survey design .

As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .

But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .

Step 6: Carry out your own research

Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.

There are two steps here – designing your research strategy and executing on it:

1 – Design your research strategy

The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.

In this section, you’ll need to make firm decisions about your research design. This includes things like:

• Your research philosophy (e.g. positivism or interpretivism )
• Your overall methodology (e.g. qualitative , quantitative or mixed methods)
• Your data collection strategy (e.g. interviews , focus groups, surveys)
• Your data analysis strategy (e.g. content analysis , correlation analysis, regression)

If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.

2 – Execute: Collect and analyse your data

Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.

Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:

• If you carry out interviews or focus groups, you’ll need to transcribe your audio data to text (i.e. a Word document).
• If you collect quantitative survey data, you’ll need to clean up your data and get it into the right format for whichever analysis software you use (for example, SPSS, R or STATA).

Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.

The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:

• If your research if exploratory in nature, you’ll often use qualitative analysis techniques .
• If your research is confirmatory in nature, you’ll often use quantitative analysis techniques
• If your research involves a mix of both, you might use a mixed methods approach

Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.

Step 7: Present your findings

Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .

What’s the difference between the results chapter and the discussion chapter?

While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling  – in other words, it provides your interpretation of the results.

For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:

• Your results chapter would just present the results of the statistical tests. For example, correlation results or differences between groups. In other words, the processed numbers.
• Your discussion chapter would explain what the numbers mean in relation to your research question(s). For example, Factor 1 has a weak relationship with consumer trust, while Factor 2 has a strong relationship.

Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.

Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).

For example, if we look at the sample research topic:

In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .

For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .

Step 8: The Final Step Draw a conclusion and discuss the implications

Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.

What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.

Sticking with the consumer trust topic example, the conclusion might look something like this:

Key findings

This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:

While the following factors have a very limited impact on consumer trust:

Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…

Implications

The findings having noteworthy implications for British low-cost online equity brokers. Specifically:

The large impact of Factors X and Y implies that brokers need to consider….

The limited impact of Factor E implies that brokers need to…

As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.

Let’s recap – how to write a dissertation or thesis

You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.

To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:

• Understand what a dissertation (or thesis) is – a research project that follows the research process.
• Find a unique (original) and important research topic
• Craft a convincing dissertation or thesis research proposal
• Write a clear, compelling introduction chapter
• Undertake a thorough review of the existing research and write up a literature review
• Undertake your own research
• Present and interpret your findings

Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.  

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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20 Comments

thankfull >>>this is very useful

Thank you, it was really helpful

unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.

Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.

This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.

Very rich presentation. Thank you

Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!

Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation

It is an amazing comprehensive explanation

This was straightforward. Thank you!

I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.

Thanks for the feedback and suggestions 🙂

Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*

Very educating.

Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.

Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.

thank you so much, that was so useful

Hi. Where is the excel spread sheet ark?

could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification

my topic is “the impact of domestic revenue mobilization.

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While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

• Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
• Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
• Is the thesis complex enough to require a whole essay's worth of argument?  
• Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
• Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
• picture_as_pdf Thesis

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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Anomaly Detection Using Graph Neural Network , Bishal Lakha

Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola

Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George

Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

Massively Parallel Algorithm for Solving the Eikonal Equation on Multiple Accelerator Platforms , Anup Shrestha

A Certificateless One-Way Group Key Agreement Protocol for Point-to-Point Email Encryption , Srisarguru Sridhar

Dynamic Machine Level Resource Allocation to Improve Tasking Performance Across Multiple Processes , Richard Walter Thatcher

Theses/Dissertations from 2015 2015

Developing an Application for Evolutionary Search for Computational Models of Cellular Development , Nicolas Scott Cornia

Accelerated Radar Signal Processing in Large Geophysical Datasets , Ravi Preesha Geetha

Integrity Coded Databases (ICDB) – Protecting Integrity for Outsourced Databases , Archana Nanjundarao

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Creating an Outline for Your Master’s Thesis

1. introduction.

Your master’s thesis serves to explain the research that you have done during your time as a masters student. For many students, the master’s thesis is the longest document that they’ve ever written, and the length of the document can feel intimidating. The purpose of this CommKit is to cover a key element of writing your thesis: the outline.

2. Criteria for Success

The most important criterion for success is that you’ve shown an outline with your chapter breakdown to your advisor. Your advisor is the one that formally signs off on your thesis as completed, so their feedback is the most important. 

Every master’s thesis will have the following elements.

• Introduction  –  Familiarize the reader with the topic and what gap exists in the field. 
• Literature Review – Provide a detailed analysis of similar work in the field and how your work is unique. Master’s thesis literature reviews typically have at least 60 citations throughout the entire document 
• Methods – Explain how you produced your results
• Results –  Show your results and comment on their significance and implications. 
• Conclusion – Summarize the methodology you used to generate results,  your key findings, and any future areas of work.

Having an outline for your master’s thesis will help you explain the motivation behind your work, and also connect the different experiments or results that you completed. Furthermore, an outline for your master’s thesis can help break down the larger task of writing the entire thesis into smaller, more manageable chapter-sized subtasks.

4. Analyze Your Audience

The most important audience member for your master’s thesis is your advisor, as they are ultimately the person that signs off on whether or not your thesis is sufficient enough to graduate. The needs of any other audience members are secondary. 

Ideally, a good master’s thesis is accessible to people that work in your field. In some cases, master’s theses are passed on to newer students so that that research can continue. In these cases, the thesis is used as a guide to introduce newer students to the research area. If you intend for your thesis to be used as a guide for new students, you may spend more time explaining the state of the field in your introduction and literature review. Additionally, your thesis will be posted publicly on DSpace , MIT’s digital repository for all theses. 

5. Best Practices

5.1. identify your claims.

A key element to figuring out the unique structure to your master’s thesis is identifying the claims of your work. A claim is an answer to a research question or gap. Your thesis can have both a higher level claim and also lower level claims that motivate the research projects that you worked on. Identifying your claims will help you spot the key objectives which you want to highlight in the thesis. This will keep your writing on topic. 

Some examples are shown below:

Gap/Question : There are no field-portable microplastic sensing technologies to measure their distribution in the environment.

→ Claim : Impedance spectroscopy can be used in a microfluidic device to rapidly distinguish organic matter from polymers.

Gap/Question: How effective are convolutional neural networks for pose estimation during in-space assembly? 

→ Claim : Convolutional neural networks can be used to estimate the pose of satellites, but struggle with oversaturated images and images with multiple satellites.

5.2. Support Your Claims

Once you have identified your claim, the next step is to identify evidence that will support it. The structure of your paper will be very dependent on the claim that you make.  Figure 1 and 2 demonstrate two different structures to support a claim. In one outline, the claim is best supported by a linear structure that describes the building, testing, and validation of a model. In another outline, the claim is best supported by a trifold structure, where three independent methods are discussed. Depending on the extent of the evidence, you could break this trifold structure into 3 separate chapters, or they could all be discussed in a singular chapter. The value of identifying claims and evidence is that it helps you organize your paper coherently at a high level. The number of chapters that are output as a result of your claim identification is up to you and what you think would be sufficient discussion for a chapter within your thesis. 

5.3. Connect the Evidence to Your Claims with Reasoning

One common mistake that students make when writing their thesis is treating each chapter as an isolated piece of writing. While it is helpful to break down the actual task of thesis writing into chapter-size pieces, these chapters should have some connection to one another. For your outline, it is ideal to identify what these connections were. Perhaps what made you start on one project was that you realized the weaknesses in your prior work and you wanted to make improvements. For readers who were not doing the research with you, describing the connections between your work in different chapters can help them understand the motivation and value of why you pursued each component. 

5.4. Combine Your Claims, Evidence, and Reasoning to Produce Your Outline

Once you have identified your claims, the evidence you have surrounding each claim, and the reasoning that connects each piece of your work, you can now create your full outline, putting the pieces together like a jigsaw puzzle. An example outline is provided as an annotated example.

There are no requirements for minimum or maximum number of chapters that your master’s thesis can have. Therefore, when translating your outline to a literal chapter breakdown, you should feel free to use as many chapters as needed. If your methods section for a claim is extremely long, it may make more sense to have it be a standalone chapter, as shown in the attached annotated pdf. 

6. Additional Resources

Every IAP, the Comm Lab hosts a workshop on how to write your master’s thesis. This workshop provides tips for writing each of these sections, and steps you through the process of creating an outline. 

Resources and Annotated Examples

Example 1. structure diagram and table of contents, example 2. table of contents.

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• Dissertation

Prize-Winning Thesis and Dissertation Examples

Published on 9 September 2022 by Tegan George . Revised on 6 April 2023.

It can be difficult to know where to start when writing your thesis or dissertation . One way to come up with some ideas or maybe even combat writer’s block is to check out previous work done by other students.

This article collects a list of undergraduate, master’s, and PhD theses and dissertations that have won prizes for their high-quality research.

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Table of contents

Award-winning undergraduate theses, award-winning master’s theses, award-winning ph.d. dissertations.

University : University of Pennsylvania Faculty : History Author : Suchait Kahlon Award : 2021 Hilary Conroy Prize for Best Honors Thesis in World History Title : “Abolition, Africans, and Abstraction: the Influence of the “Noble Savage” on British and French Antislavery Thought, 1787-1807”

University : Columbia University Faculty : History Author : Julien Saint Reiman Award : 2018 Charles A. Beard Senior Thesis Prize Title : “A Starving Man Helping Another Starving Man”: UNRRA, India, and the Genesis of Global Relief, 1943-1947

University: University College London Faculty: Geography Author: Anna Knowles-Smith Award:  2017 Royal Geographical Society Undergraduate Dissertation Prize Title:  Refugees and theatre: an exploration of the basis of self-representation

University: University of Washington Faculty:  Computer Science & Engineering Author: Nick J. Martindell Award: 2014 Best Senior Thesis Award Title:  DCDN: Distributed content delivery for the modern web

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University:  University of Edinburgh Faculty:  Informatics Author:  Christopher Sipola Award:  2018 Social Responsibility & Sustainability Dissertation Prize Title:  Summarizing electricity usage with a neural network

University:  University of Ottawa Faculty:  Education Author:  Matthew Brillinger Award:  2017 Commission on Graduate Studies in the Humanities Prize Title:  Educational Park Planning in Berkeley, California, 1965-1968

University:  University of Ottawa Faculty: Social Sciences Author:  Heather Martin Award:  2015 Joseph De Koninck Prize Title:  An Analysis of Sexual Assault Support Services for Women who have a Developmental Disability

University : University of Ottawa Faculty : Physics Author : Guillaume Thekkadath Award : 2017 Commission on Graduate Studies in the Sciences Prize Title : Joint measurements of complementary properties of quantum systems

University:  London School of Economics Faculty: International Development Author: Lajos Kossuth Award:  2016 Winner of the Prize for Best Overall Performance Title:  Shiny Happy People: A study of the effects income relative to a reference group exerts on life satisfaction

University : Stanford University Faculty : English Author : Nathan Wainstein Award : 2021 Alden Prize Title : “Unformed Art: Bad Writing in the Modernist Novel”

University : University of Massachusetts at Amherst Faculty : Molecular and Cellular Biology Author : Nils Pilotte Award : 2021 Byron Prize for Best Ph.D. Dissertation Title : “Improved Molecular Diagnostics for Soil-Transmitted Molecular Diagnostics for Soil-Transmitted Helminths”

University:  Utrecht University Faculty:  Linguistics Author:  Hans Rutger Bosker Award: 2014 AVT/Anéla Dissertation Prize Title:  The processing and evaluation of fluency in native and non-native speech

University: California Institute of Technology Faculty: Physics Author: Michael P. Mendenhall Award: 2015 Dissertation Award in Nuclear Physics Title: Measurement of the neutron beta decay asymmetry using ultracold neutrons

University:  Stanford University Faculty: Management Science and Engineering Author:  Shayan O. Gharan Award:  Doctoral Dissertation Award 2013 Title:   New Rounding Techniques for the Design and Analysis of Approximation Algorithms

University: University of Minnesota Faculty: Chemical Engineering Author: Eric A. Vandre Award:  2014 Andreas Acrivos Dissertation Award in Fluid Dynamics Title: Onset of Dynamics Wetting Failure: The Mechanics of High-speed Fluid Displacement

University: Erasmus University Rotterdam Faculty: Marketing Author: Ezgi Akpinar Award: McKinsey Marketing Dissertation Award 2014 Title: Consumer Information Sharing: Understanding Psychological Drivers of Social Transmission

University: University of Washington Faculty: Computer Science & Engineering Author: Keith N. Snavely Award:  2009 Doctoral Dissertation Award Title: Scene Reconstruction and Visualization from Internet Photo Collections

University:  University of Ottawa Faculty:  Social Work Author:  Susannah Taylor Award: 2018 Joseph De Koninck Prize Title:  Effacing and Obscuring Autonomy: the Effects of Structural Violence on the Transition to Adulthood of Street Involved Youth

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M.Sc. in Media Informatics

Examples of done master's theses topics.

• Interactive Path Planning and Real-Time Motion Synthesis for Articulated Humanoid Characters in Virtual Environments
• Model Driven Approach in VoiceXML Application Development 
• Security Aspects Analysis in Mobile Web Service Provisioning
• Awareness Visualization of BSCW Server
• A Comparative Study of Static Software Analysis Tools with a Special Focus on Software Visualization
• Building Semanticmodel for Common Document Formats With Optimized Searching
• Creating and Exploiting Ontology for Flexible and Natural Multimodal & Voice Dialogs
• A Multimodal Digital Map System with Mutual Disambiguation 
• User Centered Requirements Engineering for Highly Situated Collaborative Activities (Early Prototyping of a Wearable Computing System for Fire Fighters)
• Tracking with Ultrasonic Model Recognition, an Approach towards Ultrasonic Vision
• Designing an Information Service for Grid Environments
• A Reliable Grid Information Service Using a Unified Information Model
• Accessibility Analysis of Dynamically Changing Online Applications
• Data Policy Aware Scheduling in Grid Computing Environments
• Secure Distribution of closed group data for the  BSCW System
• Matching Operators for Models represented in a Generic Meta Model
• Building an Internet Community for Cooperative Work and Information Sharing 
• Location-Awareness and Tracking to improve Museum Experience
• Incorporating E-Accessibility in the Workflow and Design Process of Content Management Systems
• Sensor Fusion for Location Awareness
• Quality of Service Enhancement and Interface Development for Disaster Time Communication Network using WIMAX and Wi-Fi
• Advanced Mobility Management for seamless Voice Call Handover in the IMS
• Generic Activity Recognition for Real-World Application
• Contextualization of Office Artifacts using RFID
• Community-Collaboration using Online-maps
• Development of a Model-Based Workflow-Designer
• Developing an Interactive Software Visualization and Navigation Framework for Eclipse
• Implementation and Performance Analyzis of a UDP Binding for SOAP
• Improving Schema Matching by Exploiting Semantic Information
• Development of robust video recognition system and alignment tool
• Deployment and Evaluation of GMPLS Networks in Context of Scalability
• Automatic RTL Implementation of Reconfigurable ASIPs from High-level Description
• Realization and Evaluation of an Asynchronous Service Access Protocol for Mobile Web Services
• Effective Bandwidth Management for Roaming Users in an 802.11 Wireless MAN
• An Advanced Map Service for Cultural Heritage Communities
• Adapting User Interfaces to Mobile Input Devices
• Music Recommendation Based on Album Reviews
• Development of a Newspaper Image Understanding System
• Dynamic Awareness for Shared Workspaces
• SCA Compliant Waveform Design for future Software Defined Radios
• QoS-aware Publish Subscribe System using Spatial Indexes
• Word Dependant Scaling Factors in Automatic Speech Recognition
• Haptic Palpation based on Anatomical Simulation for Virtual Environments
• Predictive Filtering & Effects on Human System Interaction in Virtual Environments
• Integration of Smart Caching and Overlay Networks for Wireless Communication Networks
• Feature Selection and Extraction: A Video Retrieval Perspective
• Context-Based Navigation Support for Commuters
• Device and Route Discovery in Hetrogeneous ZigBee-IP Networks
• Visualization of Parameter Data
• Improving User's Awareness of Diet and Physical Activity Using Mobile Persuasive Technologies
• Design and Implementation of Peer-to-Peer based on Virtual Private Network
• An integrated approach to biological data management based on ER modelling
• Web based multi user annotation framework for multimedia data
• Transformation of Modelling Language on Medical Domain into Excecutable Language: The Case of GLIF to JPDL
• Diagnostic Analysis of Control Plane Signalling in Optical Networks
• Web Browser Service Continuity on Portable Storage Devices with Utility-Based Evaluation for Personal Privacy Tradeoff
• Clustering Photos to Improve Visualization of Collections
• PLEM: A Web 2.0 Driven Service for Personal Learning Management
• A Neural Network Approach to Learning the Benavior of a Kicking Device in the Gazebo
• A Toolkit to support Dynamic Social Network Visualization
• Dynamic Data Flow Analysis for MPSoC Software Development
• Dynamic Patterns for the Analysis of Cultural Science Discourses
• View Planning for Robot-Based 3D Reconstruction
• Composition of Mappings for a Generic Meta-Model
• Generic Schema Merging Based on Complex Mappings
• Computer-supported Shape Modeling by Re-Combination of Geometric Components
• Human Computer Interaction Using Vision Based Gesture Recognition with Depth Maps
• Personalizing Music in Public Places for Individuals and Groups
• Time-Based Video Annotation and Time-based Video Linking - A Concept Analysis Realized with the Joomla! Framework
• IdeaBall: A Physical Artifact for Moderating and Analyzing Brainstorming Sessions
• Evaluation and Improvement of Security in Zigbee Networks
• Component Deployment System for Roles
• Data Classification in Wireless Sensor Networks for Habitat Monitoring
• Mobile User Interface for Outdoor Sports Applications
• Dynamically Coupling ERP Information Pieces by Task Flow
• Identity Based Encryption: Security Notions and New Identity Based Encryption Schemes based on Sakai-Kasahara Key Construction
• Speech Technology for Computer Assisted Captioning of TV Programs
• Disk-based Interface for Semantic Composition
• Mobile Interaction in Ubiquitious Computing Environments - Exploration of an Interacton Mechanism Based on Map Views
• Online Data Exchange of Automation Systems for the Mining Industry
• Internet Congestion Control Equilibra: A Strategy-Proof Approach
• Frequency-Dependent Resource Signalling and Scheduling for an OFDMA based Data Link Layer
• Web 2.0: A Classification Framework Based on Technology and Application
• Influence of Magnification to Distance Pointing
• Rich Tactile Output and Feedback on Mobile Devices
• Process Modelling Support in the Disaster Management Domain
• Mobile Cocktail Party - Exploring Interaction with Spatial Audio Applications on Mobile Devices
• Handwrite: A Text Input Technique for Multitouch Tabletops Using Hand Gestures
• Software Configuration Management for Change-Sensitive Real-Time Simulation Software with Many Variants
• Modelling and Simulation of Network Architectures for Triple-Play Services
• An Evaluation of Salience-Driven 3D Shape Retrieval Methods
• Investigating the Effect of Age and Parkinson's Disease on Touch-based Selection and Scrolling Tasks
• NetLearn: Social Network Analysis and Visualisations for Learning
• Distributed Meta-Learning for Document Classification
• Design, Implementation and Evaluation of a Framework for Mobile Phone Interaction with Personalized Web Application and Asynchronous Communication Back Channel
• Linear Discriminant Analysis in a Log-Linear Framework for Speech Recognition
• Evaluating Parallel Programming Models
• Evaluating the Effectiveness of Information Presentation Methods in Spoken Dialogue Systems
• Transformation and Visualization of Mappings between Models
• An Enhanced Mechanism for Content Distribution in Next Generation Networks
• Pyragrid: Integrating Peer to Peer and Grid Architectures
• Updating XML
• Realtime Nocturnal Rendering
• Plans from Proofs
• Multimodal Search Interface for Next gEneration sEarch engine for Digital Libraries (NEEDLE)
• Mixup: A Design Tool for the Rapid Integration of Presentation components
• Tailorability of personalized web services composition
• Development of Interaction Interfaces between 3D Games and Markerless Hand-Tracking
• Exchange of Graphical Data between Application Specific Software and COTS Software
• Physics Abstraction Layer for Virtual and Augmented Reality Applications
• Application of SIOC Ontology for the Development of Workspace Interoperability in MS Sharepoint
• Development of a Semiautomatic Graffiti Tag Identification System
• Robust logo recogniton from color documents using region-based shape descriptors
• Application of (indoor) Positioning Technology to Support Cooperative Tasks and Intergration of Selected Positioning Systems into a Groupware System (FIT-Tracker)
• Semi-Formal Process Models to Executable Workflows
• Semantic Web Service Selection supporting QoS and Context Awareness
• Computation of Saliency Maps in Street Videos acquired by a moving Camera
• Development of Error Concealment Algorithms for H-264/AVC Scalable Video Coding
• Counterfeit Detection by Mining Product Traces
• Design and evaluation of a minimally-distraction in-car video communication system
• Supporting Collaboration in Meetings based on Interactive Paper Documents and a Tabletop
• Activity Recognition in Still Images
• Visual Micro Blogging for self-reflection
• Comparison of Local Detectors and Descriptors for Pose Estimation
• Predicting Aesthetics in Photographic Images
• Concept and Implementation for Context-Based Documents within Groupware Systems
• A Metadata-Based Media Player for Viewing and Sharing of Streaming Content
• Asynchronous Distributed Indexing of Large Media Collections
• Magic Lense Tracking with an Infrared Grid
• The HomeMedia Project: Studying Mobile Interaction in Ubiquitous Home
• Perceptual Evaluation of BTF Compression Techniques
• Towards a Flexible, Modular Geodata Visualization System
• Design of a Personal Data Service with Collaborative Capabilities
• Characterisation and Applications of MANET Routing Algorithms in Wireless Sensor Networks
• Semi-Automatic Validation of Semantic Business Process Models
• Image Clustering Using Machine Learning Algorithms
• Process Support in the Emergency Management Domain
• A comparative study of record matching algorithms
• Software Framework for Computing Semantic Relatednessusing Explicit Semantic Analysis (ESA)
• Resource Allocation and Access Control in a Dynamic Process Management System
• Prototyping Real-Time Collaborative Applications
• Practical Evaluation of Polygonization Algorithms
• Web Application Attacks and Adversarial Modelling: A new Approach for Classification and Attacker-Centric Formalization of Web Aplications Attacks
• Mobile Contexts: Network Fingerprinting and Auto Configuration
• Design of a Presentation State Manager for Displaying Characterictics of Medical Images
• Interlinking cross-application desktop hierarchies to overcome their semantic lacuna
• Coupled Sonar Inertial Navigation System for Pedestriam Tracking
• Cryptanalysis of Hash Funcions
• The UbiLens Approach - A Visualization and Interaction Technique for Real World Objects in Smart Environments trhourgh a Mobile Phone Camera
• A Social Web Service Adaptation Portal Driven by User Context
• Trained Graph Cut for Image Segmentation
• Exploring Task Information through BSCW with Interactive Visualization
• A Platform for Event-Based Provisioning of NGN Services
• Anomaly Detection in Different Contexts on Smart Phones
• A Supporting Environment for Review Management Systems Analysis in Scientific Publication
• Design and Evaluation of a Mobile Device as a Smart Metering Display
• Human Age Recognition on Portraits
• Lying Posture Recogniton in Still Images
• Development of a Mobile Display and Analysis Unit for the IPANEMA Body Sensor Network
• Incremental evaluation of XML views (relational subsystem)
• Certain and Maybe Answers in Data Exchange
• Performance Evaluation of Handoff and Connectivity Optimization Techniques for Wi-Fi based Mobile Access Networks
• Complex Action Selection in Spoken Dialogue Systems
• Web-based Mobile Text Retrievval
• Modeling Design Patterns with Description Logic
• Combinatory Categorial Grammar Parser in Natural Language Toolkit
• Realistic Garment Replacement in Images
• JPEG 2000 Region of Interest Encoding in Broadcast Applications
• A SIP-Based Framework for Context-Aware Service Provisioning in Converging Environments
• Object Oriented Data Model ot the Semiconductor Industry aligned to SCOR on the example of Infineon with focus on product
• Estimation of 3D Human Pose and Motion from a Video Sequence
• My Sessions Tool - Context Aware Monitoring of Computer User Resources
• Supporting Mobile Users of Shared Workspaces
• Brainstorming Using Multi-Touch Tabletop
• Visualization of Large Process Models
• Fly – Expressive and Conveying Planar Presentations
• Increasing Energy Awareness in Office Spaces: A Pervasive Game-Based Approach
• Twitter Author Analysis (Tweets - Stylistic Pattern Recognition)
• Matrix Factorization for Graph Link Prediction
• Efficient Multi-View Object Detection and Segmentation
• Perceptually Tuned Color Reduction for Document Images
• Image Retrieval, Annotation and Classification Using Data in Multiple Modality
• Exploring Mobile Augmented Reality Instructions to Assist Operating Physical Interfaces
• Building an Effective Rewarding System based on Reputation
• Human Action Recognition in Still Images
• Passing-by Interaction in Public
• Concept and Evaluation of Mobile Application Server for IP Multimedia Subsystem
• Novel Approaches for Touchless Interaction With Mobile and Desktop Devices in Digital Entertainment
• Comparision and Evaluation of Procedureal and Stereo Modeling Techniques for Rapid Prototyping of Real Cities
• Perceptual Video Similarity
• Using semantic web technologies for data update
• Implementation and Analysis of Join Algorithms to handle skew for the Hadoop Map/Reduce Framework
• 3D Buildings Extraction from Aerial Images
• Design and Evaluation of Different Smoothness Constraints for Scene Flow Estimation
• Prototyping Power Loading for CSMA-based Wireless Networks
• Using Background Knowledge in Schema Matching and Ontology Alignment
• A Global Oneway Control Channel for Opportunistic Networking
• Emergent Gameplay through a Collaborative and Competitive Location-based Mobile Game
• Influence Analysis of UbiComp Systems on Large-Scale Emergency Scenarios Using Agent-Based Simulation
• Signal-based Estimation of the Number of Simultaneous Speakers
• Residual Prediction in High Efficiency Video Coding
• Semi-Supervised Online Learning for Low-Level Tracking
• A Course Mapping Tool for Collaborative Learning
• Real-time Area Lights with GPU-based Voxelization and Cone Tracing
• Certificateless Encryption Scheme Using Biometric Identity
• Extracting Expertise, Interests and Social Networks from User Actions in a Cooperation Platform
• Robust Expert Ranking in Community-based Fake Multimedia Detection Systems
• Tag-Based Collaborative Filtering Recommendation in PLEM (Personal Learning Environment Manager)
• Sentence Boundary Detection for Broadcast News Recordings
• Agent-Based Simulation of Effectual and Casual Behaviors of Entrepreneurs
• Design and Implementation of a Flat SGSN Functionality for 3GPP Release 11 Evolved Packet
• Improved Visualization of Evolutionary Bridge Design Pattern Library
• Detecting and Visualizing Overlapping Facebook Communities with Node XL
• Requirements and Evaluation of an Open Assessment Framework
• Collaborative Checklist System for Mobile Users in Emergency Response
• Automatic classification of polarized light microscopic images for high throughput protein crystallization screening
• Efficient DBSCAN Clustering with MapReduce
• Collective Activity Recognition Based on Spatio-Temporal Distribution of Objects
• Discovery of Semantic Relationships in Schema Matching
• Analyzing Causes of Privacy Mismatches in Service Oriented Architecture
• Mining Correlation Clusters in Subspaces of HighDimensional Databases
• Similarity Matching and Summarization for Uncertain Time Series
• Design and Implementation of a Content Rating and Recommender System for a Collaborative Work Environment
• The impact of body posture on couchtable accuracy 
• Individual and Group Interest Mining in Academic Networks
• Efficient Retrieval of Mobility Patterns on Mobile Devices
• Developing a Domain-Specific Mashup Tool
• Natural head-motion synthesis for animated talking faces
• Fabiji: A tablet kiosk to facilitate creating and sharing documentation at fab labs
• Interest Mining in Social Networks
• Application and Gamification in BSCW system to enhance user behavior
• HeapVision: Debugging by Interactive Heap Navigation
• Code Mixer: A Visual Approach to Code Comprehension and Information Foraging
• Learning Analytics tool for Video-Based Learning in L2P
• Quality of Service Evaluation of IP Multimedia Services based on service differentiation over the mobile networks
• Realization of Peer Review Assessment in L2P
• Supporting Users in Creating Customized Trust Queries
• Network-based Classification of Application Behaviour
• A Collaborative Evolution Process for an Evolutionary Design Pattern Library
• Requirements Identification with Open Source Software
• A Web Dashboard for Community-Regulated Microlearning
• An Open Assessment Support Tool for L2P
• Evaluation of the Relevance of the Source IP Address for Collected Malware
• Monitoring and Analysing the Communication Activity of eProfessionals
• Non-Local Scene Flow with Soft Segmentation
• Design and Implementation of a Software Infrastructure for Relevance Feedback Applied to Big Data from Simulations
• Parallelization of a geological reservoir simulation software package
• Rapid Prototyping Tool for Mapping Physical Sensors to Domain Models
• Sniper Pointing: Above the Surface Pointing in Mid-Air
• A Japanese Sign Language / International Signs Teaching System with Kinect
• Concept and Evaluation of Semi-Automatic Tagging for Emails
• Improving Awareness at the Workplace Using Colorful Light
• TextiPad: Implementation and Evaluation of a Wearable Textile Touchpad
• Adding Document Management Support to Email Communication
• Conjunctive Triple Queries Over Unstructured Data
• An Interactive Platform for Collaborative Stroytelling - The Storybroad System
• A Framework For Inexpensive And Unobtrusive Tracking Of Everyday Objects And Single-Touch Detection
• Computing with infinite groups
• Large-scale Image-based localization using learnt projection for local features
• Building an appearance based hand gesture recognition system using the Microsoft Kinect
• Movement analysis of visitors using location-aware guides in museums
• Establishing invariant parameters for the OBJECT image schema in gestures through motion-capture data analysis
• Exploring the use of physical surfaces for extension of a digital working environment
• Resolving Ambiguities in Modulated Phase Shifting for Multi-View Stereo Reconstruction
• Opposable Thumbs: A Bare-hands Text Input Technique
• A Business Process for Continuity and Recovery in Virtualized Systems and Mitigating the Risks and Threats of Virtualization
• Visualizations of Learner Models
• Syntactic Smoothing of Hierarchical Translation Models
• Generating a Reputation System for Wireless Mesh Networks by Profiling Expected Node Behaviour
• Device Proxy Discovery and Ontology-Based Domain Model Middleware
• Micro-architectural Error Propagation Analysis through Probabilistic Error Masking Matrices in Approximate Computing
• 2D Visualization of 3D Medical Images within a Distributed System for Cancer Treatment using Hybrid Computation Approach
• User Decisions about the Security of Mobile Applications
• TrendNexus: Analysis and Visualization of Twitter Hashtags and their Correlation
• Redesigning Web Applications for Collaboration: A Widgettizing Methodology
• Methods for Leaf Segmentation and Feature Analysis
• Increasing User Awareness for Genomic Privacy
• Random Forests for 3D Pose Estimation from 2D Images
• Application-Centric Deployment of Low-Power Wireless Networks
• BAMBI: Bio Analysis Multi-tracking Based Integration System for BioLab
• Evaluating Interactive Diagrams for the Analysis of Neuron Activity Data
• Integrated Banner Visualization to Improve Asynchronous Workspace Awareness Suppport in a Collaborative Application
• Collaborative and situation dependent management of public screen content
• A Toolkit for Data Collection, Management and Analytics in Academic Networks
• Public Display Ahthentication
• A Study of the possible Scenarios for Rendering on a Tiled Display Wall using a Single PC
• Movement Patterns in Location-based Multiplayer Games
• Improvement of 3D Models in Image-Guided Positioning
• Grippo: Using Grip Gestures to Repurpose Everyday Objects as Controllers
• VisiStat: Visualization-driven interactive statistical analysis
• Interest-based Recommendation in Academic Networks using Social Network Analysis
• User Centered Design Approach to Visualise Opportunities For Collaboration in Large Organisations
• Modelling of XAx-Process Chains
• Mobile Shopping Experiences and Purchases on Google Glass
• Protecting Users from Co-Location Disclosures in Online Social Networks
• Improving Depth based Poeple Detection for Mobile Robotics
• Semantic Segmentation using Context Sensitive Decisioin Forest
• Editing 3D segmentations of pleural thickenings combining image information and user-interaction
• Adapting Speech Act Theory to Support Organization of Email-based Conversations
• Implementation and Feasibility Study of a Cooperative Mobile Network Connectiviity System
• Real-time collaborative IMS Learning Design Authoring Tool
• Design and Development of a Web Automation Framework for Manual/Automatic Testing of Modern Web Applications
• Digital Music Instrument: Analyzing Hand Gesture To Understand Hand Movement Towards Music Parameters
• Exploiting Gamification for Geographical Entity Matching
• Visual Bookmarking with Mindmap Method
• Simplifying the Understanding of Trust Management for Non-Security Experts
• Social Media Filtering based on Linked Open Data
• Heterogeneous Spreading in Complex Networks with Community Structure
• GazeTouch: Using Gaze Tracking to Select Indirect Touch Targets
• Symphony of Modalities for Interaction in Augmented Reality
• A Semantic Content-based Recommender System using Bayesian Networks
• Investigating Local Symmetries for Image Ratings Prediction
• A Gestural Interaction Model to Classify Deformable Everyday Objects
• WatchRing: Fast and eyes-free scrolling method for smart watches
• Quantifying Similarity and Predictions in Location-Based Social Networks
• Development of an Adaptive Indoor Localization Support System for People with Special Needs
• Nato Generic Vehicle Architecture (NGVA) Sensor Integration for Adaptable Crew Assistance, Alarm and Event Prediction System
• Design and Evaluation of an Augmented Flute forBeginners
• Seat occupancy detection using data fusion at car sensors
• Autoencoder networks for detection of fraudulent financial activities in ERP systems
• Rotationally Invariant Classification of Symmetric Functions on the Sphere
• Designing a seamless UI between PRIME apps
• Designing a Seamless Application Architecture in the Android Platform for the PRIME Apps
• Contribution of Optical Flow in Stereo Object Detection
• A RESTful Web-based Expert Recommender Framework
• Conveying Feedback in Skill Movement Acquisition
• Data-driven motion synthesis of virtual dance partners
• Fast Projection to the Birckhoff Polytope
• User-centered Design of Tools for Dynamic Tagging of Environment to Support Firefighters in Disaster Scenarios
• Retrieving Indoor Routes using iBeacons
• Animation of Primitives Sketches: From Gathering Dataset to 2D Animation with Use of Motion Caption Database
• BundleMAP: Anatomically Localized Classification Regression and Statistical Analysis in Diffusion MRI
• A Framework for Predictive Analysis of Time Evolving and Overlapping Communities
• Random Forests for Stroke-Based Design of High-Diminsional Transfer Functions
• Free decoding parameter optimization for automatic speech recognition
• Analysis and Detection of Android Malware with a special focus on Droid KungFu
• Patch-Based Nonrigid Registration of Triangle Meshes and Point Clouds
• Time Series Prediction using Echo State
• Holistic History User Interface in HCM Cloud Applications
• Usability, Modularity and Extensibility Improvement in CourseMapper
• Visualizing Whole Brain Tractography on a Head Mounted Display
• Prediction and control of thermal energy demand of commercial buildings using neural networks
• Hierarchical Archetypal Analysis for Image Recognition
• Open-world Short-term People Re-identification
• Crease Enhancement Using Fourth Order Nonlinear Anisotropic Diffusion Equations
• Facial Landmark Localisation with Random Forests Under Occlusion
• Detecting Appliances and Faults in Appliances based on Power Usage Data
• Usability Evaluation of Ontology Engineering Tools

25 Thesis Statement Examples

A thesis statement is needed in an essay or dissertation . There are multiple types of thesis statements – but generally we can divide them into expository and argumentative. An expository statement is a statement of fact (common in expository essays and process essays) while an argumentative statement is a statement of opinion (common in argumentative essays and dissertations). Below are examples of each.

Strong Thesis Statement Examples

1. School Uniforms

“Mandatory school uniforms should be implemented in educational institutions as they promote a sense of equality, reduce distractions, and foster a focused and professional learning environment.”

Best For: Argumentative Essay or Debate

Read More: School Uniforms Pros and Cons

2. Nature vs Nurture

“This essay will explore how both genetic inheritance and environmental factors equally contribute to shaping human behavior and personality.”

Best For: Compare and Contrast Essay

Read More: Nature vs Nurture Debate

3. American Dream

“The American Dream, a symbol of opportunity and success, is increasingly elusive in today’s socio-economic landscape, revealing deeper inequalities in society.”

Best For: Persuasive Essay

Read More: What is the American Dream?

4. Social Media

“Social media has revolutionized communication and societal interactions, but it also presents significant challenges related to privacy, mental health, and misinformation.”

Best For: Expository Essay

Read More: The Pros and Cons of Social Media

5. Globalization

“Globalization has created a world more interconnected than ever before, yet it also amplifies economic disparities and cultural homogenization.”

Read More: Globalization Pros and Cons

6. Urbanization

“Urbanization drives economic growth and social development, but it also poses unique challenges in sustainability and quality of life.”

Read More: Learn about Urbanization

7. Immigration

“Immigration enriches receiving countries culturally and economically, outweighing any perceived social or economic burdens.”

Read More: Immigration Pros and Cons

8. Cultural Identity

“In a globalized world, maintaining distinct cultural identities is crucial for preserving cultural diversity and fostering global understanding, despite the challenges of assimilation and homogenization.”

Best For: Argumentative Essay

Read More: Learn about Cultural Identity

9. Technology

“Medical technologies in care institutions in Toronto has increased subjcetive outcomes for patients with chronic pain.”

Best For: Research Paper

10. Capitalism vs Socialism

“The debate between capitalism and socialism centers on balancing economic freedom and inequality, each presenting distinct approaches to resource distribution and social welfare.”

11. Cultural Heritage

“The preservation of cultural heritage is essential, not only for cultural identity but also for educating future generations, outweighing the arguments for modernization and commercialization.”

12. Pseudoscience

“Pseudoscience, characterized by a lack of empirical support, continues to influence public perception and decision-making, often at the expense of scientific credibility.”

Read More: Examples of Pseudoscience

13. Free Will

“The concept of free will is largely an illusion, with human behavior and decisions predominantly determined by biological and environmental factors.”

Read More: Do we have Free Will?

14. Gender Roles

“Traditional gender roles are outdated and harmful, restricting individual freedoms and perpetuating gender inequalities in modern society.”

Read More: What are Traditional Gender Roles?

15. Work-Life Ballance

“The trend to online and distance work in the 2020s led to improved subjective feelings of work-life balance but simultaneously increased self-reported loneliness.”

Read More: Work-Life Balance Examples

16. Universal Healthcare

“Universal healthcare is a fundamental human right and the most effective system for ensuring health equity and societal well-being, outweighing concerns about government involvement and costs.”

Read More: The Pros and Cons of Universal Healthcare

17. Minimum Wage

“The implementation of a fair minimum wage is vital for reducing economic inequality, yet it is often contentious due to its potential impact on businesses and employment rates.”

Read More: The Pros and Cons of Raising the Minimum Wage

18. Homework

“The homework provided throughout this semester has enabled me to achieve greater self-reflection, identify gaps in my knowledge, and reinforce those gaps through spaced repetition.”

Best For: Reflective Essay

Read More: Reasons Homework Should be Banned

19. Charter Schools

“Charter schools offer alternatives to traditional public education, promising innovation and choice but also raising questions about accountability and educational equity.”

Read More: The Pros and Cons of Charter Schools

20. Effects of the Internet

“The Internet has drastically reshaped human communication, access to information, and societal dynamics, generally with a net positive effect on society.”

Read More: The Pros and Cons of the Internet

21. Affirmative Action

“Affirmative action is essential for rectifying historical injustices and achieving true meritocracy in education and employment, contrary to claims of reverse discrimination.”

Best For: Essay

Read More: Affirmative Action Pros and Cons

22. Soft Skills

“Soft skills, such as communication and empathy, are increasingly recognized as essential for success in the modern workforce, and therefore should be a strong focus at school and university level.”

Read More: Soft Skills Examples

23. Moral Panic

“Moral panic, often fueled by media and cultural anxieties, can lead to exaggerated societal responses that sometimes overlook rational analysis and evidence.”

Read More: Moral Panic Examples

24. Freedom of the Press

“Freedom of the press is critical for democracy and informed citizenship, yet it faces challenges from censorship, media bias, and the proliferation of misinformation.”

Read More: Freedom of the Press Examples

25. Mass Media

“Mass media shapes public opinion and cultural norms, but its concentration of ownership and commercial interests raise concerns about bias and the quality of information.”

Best For: Critical Analysis

Read More: Mass Media Examples

Checklist: How to use your Thesis Statement

✅ Position: If your statement is for an argumentative or persuasive essay, or a dissertation, ensure it takes a clear stance on the topic. ✅ Specificity: It addresses a specific aspect of the topic, providing focus for the essay. ✅ Conciseness: Typically, a thesis statement is one to two sentences long. It should be concise, clear, and easily identifiable. ✅ Direction: The thesis statement guides the direction of the essay, providing a roadmap for the argument, narrative, or explanation. ✅ Evidence-based: While the thesis statement itself doesn’t include evidence, it sets up an argument that can be supported with evidence in the body of the essay. ✅ Placement: Generally, the thesis statement is placed at the end of the introduction of an essay.

Try These AI Prompts – Thesis Statement Generator!

One way to brainstorm thesis statements is to get AI to brainstorm some for you! Try this AI prompt:

💡 AI PROMPT FOR EXPOSITORY THESIS STATEMENT I am writing an essay on [TOPIC] and these are the instructions my teacher gave me: [INSTUCTIONS]. I want you to create an expository thesis statement that doesn’t argue a position, but demonstrates depth of knowledge about the topic.

💡 AI PROMPT FOR ARGUMENTATIVE THESIS STATEMENT I am writing an essay on [TOPIC] and these are the instructions my teacher gave me: [INSTRUCTIONS]. I want you to create an argumentative thesis statement that clearly takes a position on this issue.

💡 AI PROMPT FOR COMPARE AND CONTRAST THESIS STATEMENT I am writing a compare and contrast essay that compares [Concept 1] and [Concept2]. Give me 5 potential single-sentence thesis statements that remain objective.

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 5 Top Tips for Succeeding at University
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 50 Durable Goods Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 100 Consumer Goods Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 30 Globalization Pros and Cons

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A roadmap for writing a literature review in a master’s thesis: Examples and guidelines

• backlinkworks
• Writing Articles & Reviews
• December 27, 2023

writing a literature review is an essential part of any master’s thesis. IT involves critically evaluating and synthesizing existing research to provide a comprehensive overview of the current state of knowledge in a particular field. A well-written literature review demonstrates your understanding of the scholarly conversation surrounding your research topic and helps to contextualize your own work within the broader academic landscape.

1. Understand the purpose of a literature review

Before you begin writing your literature review, IT ‘s important to understand its purpose. A literature review serves several key functions, including:

• Providing a comprehensive overview of existing research in your field.
• Critically evaluating the strengths and weaknesses of previous studies.
• Identifying gaps in the literature and highlighting areas for future research.
• Contextualizing your own research within the broader academic discourse.

By clearly understanding the purpose of your literature review, you can ensure that your writing is focused and relevant to your thesis.

2. Conduct a comprehensive literature search

Once you have a clear understanding of the purpose of your literature review, the next step is to conduct a comprehensive search for relevant academic sources. This involves searching for peer-reviewed journal articles, books, conference proceedings, and other scholarly publications related to your research topic.

IT ‘s important to use a variety of search strategies, including keyword searches, citation tracking, and database searches, to ensure that you are capturing all relevant literature. Additionally, consider using citation management software to organize and manage your references.

For example, if your master’s thesis is about the impact of social media on mental health, you would want to search for literature that examines the relationship between social media use and psychological well-being. This might include studies on social media usage patterns, the prevalence of mental health issues among social media users, and the potential benefits and drawbacks of social media use.

3. Analyze and synthesize the literature

Once you have gathered a comprehensive collection of literature related to your research topic, the next step is to analyze and synthesize the information. This involves critically evaluating the strengths and weaknesses of each study, identifying key themes and patterns across the literature, and synthesizing the findings into a coherent narrative.

When analyzing and synthesizing the literature, consider the following questions:

• What are the main findings and arguments of each source?
• What are the strengths and weaknesses of each study?
• What key themes and patterns emerge across the literature?

Using the example of the impact of social media on mental health, you might identify several key themes that emerge across the literature, such as the relationship between social media use and depression, the role of cyberbullying in affecting mental well-being, and the potential benefits of online peer support networks.

4. Write the literature review

With a clear understanding of the purpose of your literature review, a comprehensive collection of relevant literature, and a synthesized analysis of the existing research, you are now ready to write your literature review. When writing your literature review, consider the following guidelines:

• Provide a clear and comprehensive overview of the existing literature in your field.
• Critically evaluate and synthesize the key findings and arguments of each source.
• Organize the literature thematically or chronologically to highlight key patterns and developments in the research.
• Keep the focus on how each source relates to your research topic and thesis.

Continuing with the example of the impact of social media on mental health, your literature review might be organized into sections that correspond to the key themes you identified during your analysis. Each section could summarize and evaluate the existing literature on a specific aspect of the relationship between social media use and mental well-being, providing a clear overview of the current state of knowledge in the field.

5. Conclusion

Overall, writing a literature review for your master’s thesis involves understanding the purpose of the literature review, conducting a comprehensive literature search, analyzing and synthesizing the literature, and writing a well-organized and critical review of the existing research. By following these guidelines and examples, you can ensure that your literature review effectively contextualizes your own research within the broader academic discourse.

Q: How long should a literature review be?

A: The length of a literature review can vary depending on the requirements of your master’s thesis and the depth and breadth of the existing literature. In general, a literature review for a master’s thesis is typically around 3000-5000 words, but this can vary based on the specific expectations of your program or advisor.

Q: How many sources should I include in my literature review?

A: The number of sources you include in your literature review will depend on the scope of your research topic and the expectations of your program or advisor. In general, a literature review for a master’s thesis should include a comprehensive collection of relevant sources, typically ranging from 20-50 academic articles, books, and other scholarly publications.

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The Savvy Scientist

Experiences of a London PhD student and beyond

Thesis Title: Examples and Suggestions from a PhD Grad

When you’re faced with writing up a thesis, choosing a title can often fall to the bottom of the priority list. After all, it’s only a few words. How hard can it be?!

In the grand scheme of things I agree that picking your thesis title shouldn’t warrant that much thought, however my own choice is one of the few regrets I have from my PhD . I therefore think there is value in spending some time considering the options available.

In this post I’ll guide you through how to write your own thesis title and share real-world examples. Although my focus is on the PhD thesis, I’ve also included plenty of thesis title examples for bachelor’s and master’s research projects too.

Hopefully by the end of the post you’ll feel ready to start crafting your own!

Why your thesis title is at least somewhat important

It sounds obvious but your thesis title is the first, and often only, interaction people will have with your thesis. For instance, hiring managers for jobs that you may wish to apply for in the future. Therefore you want to give a good sense of what your research involved from the title.

Many people will list the title of their thesis on their CV, at least for a while after graduating. All of the example titles I’ve shared below came from my repository of academic CVs . I’d say roughly 30% of all the academics on that page list their thesis title, which includes academics all the way up to full professor.

Your thesis title could therefore feature on your CV for your whole career, so it is probably worth a bit of thought!

My suggestions for choosing a good thesis title

• Make it descriptive of the research so it’s immediately obvious what it is about! Most universities will publish student theses online ( here’s mine! ) and they’re indexed so can be found via Google Scholar etc. Therefore give your thesis a descriptive title so that interested researchers can find it in the future.
• Don’t get lost in the detail . You want a descriptive title but avoid overly lengthy descriptions of experiments. Unless a certain analytical technique etc was central to your research, I’d suggest by default* to avoid having it in your title. Including certain techniques will make your title, and therefore research, look overly dated, which isn’t ideal for potential job applications after you graduate.
• The title should tie together the chapters of your thesis. A well-phrased title can do a good job of summarising the overall story of your thesis. Think about each of your research chapters and ensure that the title makes sense for each of them.
• Be strategic . Certain parts of your work you want to emphasise? Consider making them more prominent in your title. For instance, if you know you want to pivot to a slightly different research area or career path after your PhD, there may be alternative phrasings which describe your work just as well but could be better understood by those in the field you’re moving into. I utilised this a bit in my own title which we’ll come onto shortly.
• Do your own thing. Having just laid out some suggestions, do make sure you’re personally happy with the title. You get a lot of freedom to choose your title, so use it however you fancy. For example, I’ve known people to use puns in their title, so if that’s what you’re into don’t feel overly constrained.

*This doesn’t always hold true and certainly don’t take my advice if 1) listing something in your title could be a strategic move 2) you love the technique so much that you’re desperate to include it!

Thesis title examples

To help give you some ideas, here are some example thesis titles from Bachelors, Masters and PhD graduates. These all came from the academic CVs listed in my repository here .

Bachelor’s thesis title examples

Hysteresis and Avalanches Paul Jager , 2014 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

The bioenergetics of a marine ciliate, Mesodinium rubrum Holly Moeller , 2008 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian Ekaterina Kochmar , 2008 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Master’s thesis title examples

Creation of an autonomous impulse response measurement system for rooms and transducers with different methods Guy-Bart Stan , 2000 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters Adrian Vasile Dalca , 2012 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

The detection of oil under ice by remote mode conversion of ultrasound Eric Yeatman , 1986 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Ensemble-Based Learning for Morphological Analysis of German Ekaterina Kochmar , 2010 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

VARiD: A Variation Detection Framework for Color-Space and Letter-Space Platforms Adrian Vasile Dalca , 2010 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Identification of a Writer’s Native Language by Error Analysis Ekaterina Kochmar , 2011 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

On the economic optimality of marine reserves when fishing damages habitat Holly Moeller , 2010 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Sensitivity Studies for the Time-Dependent CP Violation Measurement in B 0 → K S K S K S at the Belle II-Experiment Paul Jager , 2016 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

PhD thesis title examples

Spatio-temporal analysis of three-dimensional real-time ultrasound for quantification of ventricular function Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

The role and maintenance of diversity in a multi-partner mutualism: Trees and Ectomycorrhizal Fungi Holly Moeller , 2015 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature Michael Osborne , 2010 – Machine Learning – Oxford Full Professor –  direct link to Michael’s machine learning academic CV

Global analysis and synthesis of oscillations: a dissipativity approach Guy-Bart Stan , 2005 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Coarse-grained modelling of DNA and DNA self-assembly Thomas Ouldridge , 2011– Bioengineering – Imperial College London Senior Lecturer / Associate Prof –  direct link to Thomas’ bioengineering academic CV

4D tomographic image reconstruction and parametric maps estimation: a model-based strategy for algorithm design using Bayesian inference in Probabilistic Graphical Models (PGM) Michele Scipioni , 2018– Biomedical Engineer – Harvard Postdoctoral Research Fellow –  direct link to Michele’s biomedical engineer academic CV

Error Detection in Content Word Combinations Ekaterina Kochmar , 2016 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Genetic, Clinical and Population Priors for Brain Images Adrian Vasile Dalca , 2016 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Challenges and Opportunities of End-to-End Learning in Medical Image Classification Paul Jager , 2020 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

K 2 NiF 4  materials as cathodes for intermediate temperature solid oxide fuel cells Ainara Aguadero , 2006 – Materials Science – Imperial Reader –  direct link to Ainara’s materials science academic CV

Applications of surface plasmons – microscopy and spatial light modulation Eric Yeatman , 1989 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Geometric Algorithms for Objects in Motion Sorelle Friedler , 2010 – Computer science – Haverford College Associate Professor –  direct link to Sorelle’s computer science academic CV .

Geometrical models, constraints design, information extraction for pathological and healthy medical image Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

Why I regret my own choice of PhD thesis title

I should say from the outset that I assembled my thesis in quite a short space of time compared to most people. So I didn’t really spend particularly long on any one section, including the title.

However, my main supervisor even spelled out for me that once the title was submitted to the university it would be permanent. In other words: think wisely about your title.

What I started with

Initially I drafted the title as something like: Three dimensional correlative imaging for cartilage regeneration . Which I thought was nice, catchy and descriptive.

I decided to go for “correlative imaging” because, not only did it describe the experiments well, but it also sounded kind of technical and fitting of a potential pivot into AI. I’m pleased with that bit of the title.

What I ended up with

Before submitting the title to the university (required ahead of the viva), I asked my supervisors for their thoughts.

One of my well intentioned supervisors suggested that, given that my project didn’t involve verifying regenerative quality, I probably shouldn’t state cartilage regeneration . Instead, they suggested, I should state what I was experimenting on (the materials) rather than the overall goal of the research (aid cartilage regeneration efforts).

With this advice I dialled back my choice of wording and the thesis title I went with was:

Three dimensional correlative imaging for measurement of strain in cartilage and cartilage replacement materials

Reading it back now I’m reminder about how less I like it than my initial idea!

I put up basically no resistance to the supervisor’s choice, even though the title sounds so much more boring in my opinion. I just didn’t think much of it at the time. Furthermore, most of my PhD was actually in a technique which is four dimensional (looking at a series of 3D scans over time, hence 4D) which would have sounded way more sciency and fitting of a PhD.

What I wish I’d gone with

If I had the choice again, I’d have gone with:

Four-dimensional correlative imaging for cartilage regeneration

Which, would you believe it, is exactly what it states on my CV…

Does the thesis title really matter?

In all honesty, your choice of thesis title isn’t that important. If you come to regret it, as I do, it’s not the end of the world. There are much more important things in life to worry about.

If you decide at a later stage that you don’t like it you can always describe it in a way that you prefer. For instance, in my CV I describe my PhD as I’d have liked the title to be. I make no claim that it’s actually the title so consider it a bit of creative license.

Given that as your career progresses you may not even refer back to your thesis much, it’s really not worth stressing over. However, if you’re yet to finalise your thesis title I do still think it is worth a bit of thought and hopefully this article has provided some insights into how to choose a good thesis title.

My advice for developing a thesis title

• Draft the title early. Drafting it early can help give clarity for the overall message of your research. For instance, while you’re assembling the rest of your thesis you can check that the title encompasses the research chapters you’re included, and likewise that the research experiments you’re including fall within what the title describes. Drafting it early also gives more time you to think it over. As with everything: having a first draft is really important to iterate on.
• Look at some example titles . Such as those featured above!
• If you’re not sure about your title, ask a few other people what they think . But remember that you have the final say!

I hope this post has been useful for those of you are finalising your thesis and need to decide on a thesis title. If you’ve enjoyed this article and would like to hear about future content (and gain access to my free resource library!) you can subscribe for free here:

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3 inspiring master’s thesis acknowledgement examples

Writing a thesis acknowledgment is a meaningful milestone, marking the completion of a master’s thesis and the end of a master’s education. Questions about its length, tone, and acceptability commonly arise for many students. To provide inspiration, here are three concise master’s thesis acknowledgment examples for you to consider as you compose your own.

What to consider when writing a master’s thesis acknowledgement

Master’s thesis acknowledgement example 1: formal and polite, master’s thesis acknowledgement example 2: emotional and personal, master’s thesis acknowledgement example 3: humorous and grateful.

It is very rare not to have an acknowledgment for your thesis, so almost all master’s students will face the challenge of writing one sooner or later if they are working on a thesis. Master thesis acknowledgments typically range between 100-350 words.

While there are usually no fixed rules on how to write it, remember that the acknowledgment is one of the first things that the reader (including potential assessors!) will see, as it is usually placed before the thesis introduction . Thus, you want to make a good impression. While making an acknowledgment personal, keep it somewhat formal.

Furthermore, it is good to thank your supervisor, even if you did not have the best relationship, out of courtesy. You can also express gratitude to family, friends, or even pets, but keep in mind that many theses are publicly available, so do not share anything that you would not want the world to know. Again, maintaining a somewhat formal tone will help with this.

If you want more information, check out this post on general tips that I wrote on how to create a distinct and meaningful acknowledgment section that reflects your gratitude and appreciation.

You may also like: 5 inspiring PhD thesis acknowledgement examples

While some individuals are naturally expressive, openly sharing their private lives even in public, others may not feel as comfortable with such openness—and that’s perfectly acceptable.

Crafting a brief, formal, and polite thesis acknowledgement is a universal practice, ensuring that you convey appreciation without overstepping personal boundaries.

If you are more emotional and personal, and want to include that in your thesis acknowledgement, this is also perfectly fine. Remember, do you, as long as you keep it to an acceptable level of formality.

While maintaining a degree of formality in a thesis acknowledgement, there’s room for a touch of humor to let your personality shine through. Embracing a lighthearted tone doesn’t diminish the significance of the acknowledgment; rather, it can add a personal and engaging touch.

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