How to write the perfect design dissertation
Tutors and students from top design colleges share their advice.

Studying design is about crafting a great design portfolio that will wow potential employers, right? Well, yes. But don't discount the importance of astute creative thinking, and expressing yourself eloquently through the written word. In short, your design dissertation matters.
"I don't believe that design students should be focused entirely on portfolio work," argues Myrna MacLeod (opens in new tab) , programme leader for Graphic Design at Edinburgh Napier University. "They should also be able to demonstrate an interest in the contexts that underpin their work, and the histories and connections that have informed our practice."
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"Think of a dissertation as an opportunity, not a burden," urges Craig Burston (opens in new tab) , Graphic and Media Design course leader at London College of Communication (LCC). "It gives us visually-minded people an opportunity to demonstrate that we too can construct arguments and distil complex notions."
As Burston points out, this is not just an academic exercise: the power of persuasion is often key to success as a commercial designer. "Clients seek clarity, and project concepts or proposals need to be put into context," he says.
Read on to discover some top tips from leading tutors and their students for nailing your design dissertation…

01. Treat it like a design brief
"A great dissertation should be a designed artefact, and portfolio-worthy in its own right," says Burston. And like a design brief, it should be about solving a problem: "Make sure it has clearly stated aims, strong focus, and doesn't lack opinion or rhetoric," he adds.
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"The value of a designed dissertation as a portfolio piece is that it's a holistic view of the individual," agrees Sarah James , senior lecturer in Visual Communication at Arts University Bournemouth (AUB).
"It shows, type, editorial, research and aesthetic skill, as well as the personal interests and convictions of the individual."
James identifies AUB student Maarit Koobas (opens in new tab) , who investigated responsive type in both her dissertation and final project, as a particularly strong example of this. "Her design version was one of the most authentic, restrained and elegantly expressive I have ever received," she enthuses.
Koobas conducted a huge amount of initial research into both the contexts in which responsive type can be seen – such as advertising, product design, science and material cultures – and the theories behind its analysis, including semiotics, philosophy and politics. "Creating and analysing ideas, before they end up in your portfolio, is what design is all about," argues Koobas.
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02. Write about your passion
"To develop essay questions, AUB students are asked to consider what they love, hate or are puzzled by in their practice – essentially, what moves them," says James.
"A poor dissertation is inauthentically chosen for ease as opposed to interest," she adds. "It rambles and blusters, using complex language to mask insufficient research."
"You can tell a mile off when the writer isn't interested," agrees Burston. "How can you expect the reader to care about it if you don't? Write about something that reflects your interests, focus and direction. I've read fascinating dissertations on topics as diverse as patterns in nature, and Brutalist car parks. Make me interested in what interests you."
For Edinburgh Napier graduate Fiona Winchester (opens in new tab) , this topic turned out to be typography in graphic novels. "I love reading them, but I think people still don't take them seriously as an art form, which is a shame," she says. For her dissertation, she conducted qualitative interviews using modified pages with and without imagery (shown above).
Her advice is simple: "Narrow down your idea to be as precise as possible. The smaller your question, the easier it is to research and try to answer it."
If you're struggling to get the ball rolling on the actual writing process, Winchester advocates starting with whichever bit you have ideas for. "If you're stuck, it's so much easier to write in whatever order it comes to you, and then edit it into a dissertation, than to try write straight through from beginning to end," she insists.
03. Don't be afraid to talk to people
"I always think my students get the most out of the new streams of knowledge they find from talking to people," says McLeod. "It breaks down barriers and allows them to find answers to problems. Hopefully they will adopt that approach when designing for people also."
In some cases, this can involve interviewing your design heroes. "Students are very surprised when they send a question to Stefan Sagmeister (opens in new tab) , Milton Glaser or Michael Wolff and they reply with the most precious nugget of knowledge," smiles McLeod.
But remember: it's your dissertation, so don't get lazy and expect your interview subject to do all the heavy lifting.
In other cases, it could be as simple as asking friends or family to help proofread. "It is quite daunting writing such a large body of text," admits Kaori Toh (opens in new tab) , a recent graduate from Central Saint Martins, whose dissertation explored the politics of design and technology.
"I often felt I'd get lost in all that text and research," she confesses. "Therefore, I would often send my drafts to a couple of friends to have them look through, and keep my writing cohesive."
04. Reflect on your design practice
Most of all, dissertations are an opportunity to reflect on, and develop, your creative process as a designer. "Ultimately, it's your job to make your work relevant and credible, and the dissertation helps you learn how to do this," adds Burston.
Of course, writing doesn't always come easily to visually minded people – and Burston highlights the fact that dyslexia is not uncommon amongst designers.
"You're not on your own – in our profession, quite the opposite in fact – so do seek academic support, and just enjoy thinking and writing about 'stuff' that informs your practice," is his advice.
One of Burston's stand-out students from this year, Tom Baber (opens in new tab) , welcomed support from the university to help with his dyslexia. Baber's dissertation focused on type design, and particularly the extent to which the longwinded design process is worth the effort, compared to using an existing typeface.
"I saw it as an opportunity to approach other type designers and see what they thought. Turns out I'm not the first to ask the question," he smiles. "Writing my dissertation helped me change from a 'maker' mentality to a 'designer' mentality, and be more critical of my ideas."
Related articles:
- 15 things they didn't teach you at design school
- The skills every design graduate needs
- 5 alternative routes into design education
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Nick is a content strategist and copywriter. He has worked with world-class agencies including Superunion, Wolff Olins and Vault49 on brand storytelling, tone of voice and verbal strategy for global brands such as Virgin, Pepsi and TikTok. Nick launched the Brand Impact Awards (opens in new tab) in 2013 while editor of Computer Arts, and remains chair of judges. He's written for Creative Bloq on design and branding matters since the site's launch.
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- Dissertation
What Is a Dissertation? | Guide, Examples, & Template

A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program.
Your dissertation is probably the longest piece of writing you’ve ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating to know where to begin.
Your department likely has guidelines related to how your dissertation should be structured. When in doubt, consult with your supervisor.
You can also download our full dissertation template in the format of your choice below. The template includes a ready-made table of contents with notes on what to include in each chapter, easily adaptable to your department’s requirements.
Download Word template Download Google Docs template
- In the US, a dissertation generally refers to the collection of research you conducted to obtain a PhD.
- In other countries (such as the UK), a dissertation often refers to the research you conduct to obtain your bachelor’s or master’s degree.
Table of contents
Dissertation committee and prospectus process, how to write and structure a dissertation, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your dissertation, free checklist and lecture slides.
When you’ve finished your coursework, as well as any comprehensive exams or other requirements, you advance to “ABD” (All But Dissertation) status. This means you’ve completed everything except your dissertation.
Prior to starting to write, you must form your committee and write your prospectus or proposal . Your committee comprises your adviser and a few other faculty members. They can be from your own department, or, if your work is more interdisciplinary, from other departments. Your committee will guide you through the dissertation process, and ultimately decide whether you pass your dissertation defense and receive your PhD.
Your prospectus is a formal document presented to your committee, usually orally in a defense, outlining your research aims and objectives and showing why your topic is relevant . After passing your prospectus defense, you’re ready to start your research and writing.
The structure of your dissertation depends on a variety of factors, such as your discipline, topic, and approach. Dissertations in the humanities are often structured more like a long essay , building an overall argument to support a central thesis , with chapters organized around different themes or case studies.
However, hard science and social science dissertations typically include a review of existing works, a methodology section, an analysis of your original research, and a presentation of your results , presented in different chapters.
Dissertation examples
We’ve compiled a list of dissertation examples to help you get started.
- Example dissertation #1: Heat, Wildfire and Energy Demand: An Examination of Residential Buildings and Community Equity (a dissertation by C. A. Antonopoulos about the impact of extreme heat and wildfire on residential buildings and occupant exposure risks).
- Example dissertation #2: Exploring Income Volatility and Financial Health Among Middle-Income Households (a dissertation by M. Addo about income volatility and declining economic security among middle-income households).
- Example dissertation #3: The Use of Mindfulness Meditation to Increase the Efficacy of Mirror Visual Feedback for Reducing Phantom Limb Pain in Amputees (a dissertation by N. S. Mills about the effect of mindfulness-based interventions on the relationship between mirror visual feedback and the pain level in amputees with phantom limb pain).
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The very first page of your document contains your dissertation title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo.
Read more about title pages
The acknowledgements section is usually optional and gives space for you to thank everyone who helped you in writing your dissertation. This might include your supervisors, participants in your research, and friends or family who supported you. In some cases, your acknowledgements are part of a preface.
Read more about acknowledgements Read more about prefaces
The abstract is a short summary of your dissertation, usually about 150 to 300 words long. Though this may seem very short, it’s one of the most important parts of your dissertation, because it introduces your work to your audience.
Your abstract should:
- State your main topic and the aims of your research
- Describe your methods
- Summarize your main results
- State your conclusions
Read more about abstracts
The table of contents lists all of your chapters, along with corresponding subheadings and page numbers. This gives your reader an overview of your structure and helps them easily navigate your document.
Remember to include all main parts of your dissertation in your table of contents, even the appendices. It’s easy to generate a table automatically in Word if you used heading styles. Generally speaking, you only include level 2 and level 3 headings, not every subheading you included in your finished work.
Read more about tables of contents
While not usually mandatory, it’s nice to include a list of figures and tables to help guide your reader if you have used a lot of these in your dissertation. It’s easy to generate one of these in Word using the Insert Caption feature.
Read more about lists of figures and tables
Similarly, if you have used a lot of abbreviations (especially industry-specific ones) in your dissertation, you can include them in an alphabetized list of abbreviations so that the reader can easily look up their meanings.
Read more about lists of abbreviations
In addition to the list of abbreviations, if you find yourself using a lot of highly specialized terms that you worry will not be familiar to your reader, consider including a glossary. Here, alphabetize the terms and include a brief description or definition.
Read more about glossaries
The introduction serves to set up your dissertation’s topic, purpose, and relevance. It tells the reader what to expect in the rest of your dissertation. The introduction should:
- Establish your research topic , giving the background information needed to contextualize your work
- Narrow down the focus and define the scope of your research
- Discuss the state of existing research on the topic, showing your work’s relevance to a broader problem or debate
- Clearly state your research questions and objectives
- Outline the flow of the rest of your work
Everything in the introduction should be clear, engaging, and relevant. By the end, the reader should understand the what, why, and how of your research.
Read more about introductions
A formative part of your research is your literature review . This helps you gain a thorough understanding of the academic work that already exists on your topic.
Literature reviews encompass:
- Finding relevant sources (e.g., books and journal articles)
- Assessing the credibility of your sources
- Critically analyzing and evaluating each source
- Drawing connections between them (e.g., themes, patterns, conflicts, or gaps) to strengthen your overall point
A literature review is not merely a summary of existing sources. Your literature review should have a coherent structure and argument that leads to a clear justification for your own research. It may aim to:
- Address a gap in the literature or build on existing knowledge
- Take a new theoretical or methodological approach to your topic
- Propose a solution to an unresolved problem or advance one side of a theoretical debate
Read more about literature reviews
Theoretical framework
Your literature review can often form the basis for your theoretical framework. Here, you define and analyze the key theories, concepts, and models that frame your research.
Read more about theoretical frameworks
Your methodology chapter describes how you conducted your research, allowing your reader to critically assess its credibility. Your methodology section should accurately report what you did, as well as convince your reader that this was the best way to answer your research question.
A methodology section should generally include:
- The overall research approach ( quantitative vs. qualitative ) and research methods (e.g., a longitudinal study )
- Your data collection methods (e.g., interviews or a controlled experiment )
- Details of where, when, and with whom the research took place
- Any tools and materials you used (e.g., computer programs, lab equipment)
- Your data analysis methods (e.g., statistical analysis , discourse analysis )
- An evaluation or justification of your methods
Read more about methodology sections
Your results section should highlight what your methodology discovered. You can structure this section around sub-questions, hypotheses , or themes, but avoid including any subjective or speculative interpretation here.
Your results section should:
- Concisely state each relevant result together with relevant descriptive statistics (e.g., mean , standard deviation ) and inferential statistics (e.g., test statistics , p values )
- Briefly state how the result relates to the question or whether the hypothesis was supported
- Report all results that are relevant to your research questions , including any that did not meet your expectations.
Additional data (including raw numbers, full questionnaires, or interview transcripts) can be included as an appendix. You can include tables and figures, but only if they help the reader better understand your results. Read more about results sections
Your discussion section is your opportunity to explore the meaning and implications of your results in relation to your research question. Here, interpret your results in detail, discussing whether they met your expectations and how well they fit with the framework that you built in earlier chapters. Refer back to relevant source material to show how your results fit within existing research in your field.
Some guiding questions include:
- What do your results mean?
- Why do your results matter?
- What limitations do the results have?
If any of the results were unexpected, offer explanations for why this might be. It’s a good idea to consider alternative interpretations of your data.
Read more about discussion sections
Your dissertation’s conclusion should concisely answer your main research question, leaving your reader with a clear understanding of your central argument and emphasizing what your research has contributed to the field.
In some disciplines, the conclusion is just a short section preceding the discussion section, but in other contexts, it is the final chapter of your work. Here, you wrap up your dissertation with a final reflection on what you found, with recommendations for future research and concluding remarks.
It’s important to leave the reader with a clear impression of why your research matters. What have you added to what was already known? Why is your research necessary for the future of your field?
Read more about conclusions
It is crucial to include a reference list or list of works cited with the full details of all the sources that you used, in order to avoid plagiarism. Be sure to choose one citation style and follow it consistently throughout your dissertation. Each style has strict and specific formatting requirements.
Common styles include MLA , Chicago , and APA , but which style you use is often set by your department or your field.
Create APA citations Create MLA citations
Your dissertation should contain only essential information that directly contributes to answering your research question. Documents such as interview transcripts or survey questions can be added as appendices, rather than adding them to the main body.
Read more about appendices
Making sure that all of your sections are in the right place is only the first step to a well-written dissertation. Don’t forget to leave plenty of time for editing and proofreading, as grammar mistakes and sloppy spelling errors can really negatively impact your work.
Dissertations can take up to five years to write, so you will definitely want to make sure that everything is perfect before submitting. You may want to consider using a professional dissertation editing service to make sure your final project is perfect prior to submitting.
After your written dissertation is approved, your committee will schedule a defense. Similarly to defending your prospectus, dissertation defenses are oral presentations of your work. You’ll present your dissertation, and your committee will ask you questions. Many departments allow family members, friends, and other people who are interested to join as well.
After your defense, your committee will meet, and then inform you whether you have passed. Keep in mind that defenses are usually just a formality; most committees will have resolved any serious issues with your work with you far prior to your defense, giving you ample time to fix any problems.
As you write your dissertation, you can use this simple checklist to make sure you’ve included all the essentials.
Checklist: Dissertation
My title page includes all information required by my university.
I have included acknowledgements thanking those who helped me.
My abstract provides a concise summary of the dissertation, giving the reader a clear idea of my key results or arguments.
I have created a table of contents to help the reader navigate my dissertation. It includes all chapter titles, but excludes the title page, acknowledgements, and abstract.
My introduction leads into my topic in an engaging way and shows the relevance of my research.
My introduction clearly defines the focus of my research, stating my research questions and research objectives .
My introduction includes an overview of the dissertation’s structure (reading guide).
I have conducted a literature review in which I (1) critically engage with sources, evaluating the strengths and weaknesses of existing research, (2) discuss patterns, themes, and debates in the literature, and (3) address a gap or show how my research contributes to existing research.
I have clearly outlined the theoretical framework of my research, explaining the theories and models that support my approach.
I have thoroughly described my methodology , explaining how I collected data and analyzed data.
I have concisely and objectively reported all relevant results .
I have (1) evaluated and interpreted the meaning of the results and (2) acknowledged any important limitations of the results in my discussion .
I have clearly stated the answer to my main research question in the conclusion .
I have clearly explained the implications of my conclusion, emphasizing what new insight my research has contributed.
I have provided relevant recommendations for further research or practice.
If relevant, I have included appendices with supplemental information.
I have included an in-text citation every time I use words, ideas, or information from a source.
I have listed every source in a reference list at the end of my dissertation.
I have consistently followed the rules of my chosen citation style .
I have followed all formatting guidelines provided by my university.
Congratulations!
The end is in sight—your dissertation is nearly ready to submit! Make sure it's perfectly polished with the help of a Scribbr editor.
If you’re an educator, feel free to download and adapt these slides to teach your students about structuring a dissertation.
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- Methodology
Research Design | Step-by-Step Guide with Examples
Published on 5 May 2022 by Shona McCombes . Revised on 10 October 2022.
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about:
- Your overall aims and approach
- The type of research design you’ll use
- Your sampling methods or criteria for selecting subjects
- Your data collection methods
- The procedures you’ll follow to collect data
- Your data analysis methods
A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.
Table of contents
Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.
- Introduction
Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.
There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.
The first choice you need to make is whether you’ll take a qualitative or quantitative approach.
Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.
Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.
It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.
Practical and ethical considerations when designing research
As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .
- How much time do you have to collect data and write up the research?
- Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
- Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
- Will you need ethical approval ?
At each stage of the research design process, make sure that your choices are practically feasible.
Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.
Types of quantitative research designs
Quantitative designs can be split into four main types. Experimental and quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.
With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).
Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.
Types of qualitative research designs
Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.
The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.
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Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.
In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.
Defining the population
A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.
For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?
The more precisely you define your population, the easier it will be to gather a representative sample.
Sampling methods
Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.
To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.
Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.
For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research
In some types of qualitative designs, sampling may not be relevant.
For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.
In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.
For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.
Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.
You can choose just one data collection method, or use several methods in the same study.
Survey methods
Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.
Observation methods
Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.
Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.
Other methods of data collection
There are many other ways you might collect data depending on your field and topic.
If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.
Secondary data
If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.
With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.
Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.
However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.
As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.
Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.
Operationalisation
Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.
If you’re using observations , which events or actions will you count?
If you’re using surveys , which questions will you ask and what range of responses will be offered?
You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.
Reliability and validity
Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.
For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.
If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.
Sampling procedures
As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.
That means making decisions about things like:
- How many participants do you need for an adequate sample size?
- What inclusion and exclusion criteria will you use to identify eligible participants?
- How will you contact your sample – by mail, online, by phone, or in person?
If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?
If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?
Data management
It’s also important to create a data management plan for organising and storing your data.
Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.
Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.
On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.
Quantitative data analysis
In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.
Using descriptive statistics , you can summarise your sample data in terms of:
- The distribution of the data (e.g., the frequency of each score on a test)
- The central tendency of the data (e.g., the mean to describe the average score)
- The variability of the data (e.g., the standard deviation to describe how spread out the scores are)
The specific calculations you can do depend on the level of measurement of your variables.
Using inferential statistics , you can:
- Make estimates about the population based on your sample data.
- Test hypotheses about a relationship between variables.
Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.
Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.
Qualitative data analysis
In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.
Two of the most common approaches to doing this are thematic analysis and discourse analysis .
There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.
A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.
For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.
Operationalisation means turning abstract conceptual ideas into measurable observations.
For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.
Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.
The research methods you use depend on the type of data you need to answer your research question .
- If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
- If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
- If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.
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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.
By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019
So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.
To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *
In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).
So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.
Overview: S tructuring a dissertation or thesis
- Acknowledgements page
- Abstract (or executive summary)
- Table of contents , list of figures and tables
- Chapter 1: Introduction
- Chapter 2: Literature review
- Chapter 3: Methodology
- Chapter 4: Results
- Chapter 5: Discussion
- Chapter 6: Conclusion
- Reference list
As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:
- The introduction chapter presents the core research question and aims .
- The literature review chapter assesses what the current research says about this question.
- The methodology, results and discussion chapters go about undertaking new research about this question.
- The conclusion chapter (attempts to) answer the core research question.
In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.
Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.
The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:
- Succinct (not overly lengthy or verbose)
- Specific (not vague or ambiguous)
- Representative of the research you’re undertaking (clearly linked to your research questions)
Typically, a good title includes mention of the following:
- The broader area of the research (i.e. the overarching topic)
- The specific focus of your research (i.e. your specific context)
- Indication of research design (e.g. quantitative , qualitative , or mixed methods ).
For example:
A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].
Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements
This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.
So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:
- Your dissertation supervisor or committee.
- Any professors, lecturers or academics that helped you understand the topic or methodologies.
- Any tutors, mentors or advisors.
- Your family and friends, especially spouse (for adult learners studying part-time).
There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.
Abstract or executive summary
The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .
For it to stand alone, your abstract should cover the following key points (at a minimum):
- Your research questions and aims – what key question(s) did your research aim to answer?
- Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
- Your findings – following your own research, what did do you discover?
- Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?
So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.
In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .
Need a helping hand?
Table of contents
This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:
If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.
Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…
- What will you be investigating (in plain-language, big picture-level)?
- Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
- What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
- What is the scope of your study? In other words, what will and won’t you cover ?
- How will you approach your research? In other words, what methodology will you adopt?
- How will you structure your dissertation? What are the core chapters and what will you do in each of them?
- What does the literature currently say about the topic you’re investigating?
- Is the literature lacking or well established? Is it divided or in disagreement?
- How does your research fit into the bigger picture?
- How does your research contribute something original?
- How does the methodology of previous studies help you develop your own?

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…
In this chapter, you need to address two critical questions:
- Exactly HOW will you carry out your research (i.e. what is your intended research design)?
- Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?
Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.
Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.
In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!
You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics, etc.
Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.
Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).
What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.
Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.
The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?
Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!
This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.
The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA, Harvard, etc.
It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:
Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.
The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.
Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!
Time to recap…
And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:
- Acknowledgments page
Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).
I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst… there’s more (for free)
This post is part of our research writing mini-course, which covers everything you need to get started with your dissertation, thesis or research project.
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27 Comments
many thanks i found it very useful
Glad to hear that, Arun. Good luck writing your dissertation.
Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!
what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much
Thanks so much this helped me a lot!
Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.
Thanks Ade!
Thank you so much sir.. It was really helpful..
You’re welcome!
Hi! How many words maximum should contain the abstract?
Thank you so much 😊 Find this at the right moment
You’re most welcome. Good luck with your dissertation.
best ever benefit i got on right time thank you
Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .
I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these
You have given immense clarity from start to end.
Morning. Where will I write the definitions of what I’m referring to in my report?
Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!
Thanks ! so concise and valuable
This was very helpful. Clear and concise. I know exactly what to do now.
Thank you for allowing me to go through briefly. I hope to find time to continue.
Really useful to me. Thanks a thousand times
Very interesting! It will definitely set me and many more for success. highly recommended.
Usefull, thanks a lot. Really clear
That was incredibly useful. Thanks Grad Coach Crew!
My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!
Do we need to mention the number of words the dissertation contains in the main document?
It depends on your university’s requirements, so it would be best to check with them 🙂
Such a helpful post to help me get started with structuring my masters dissertation, thank you!
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A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall research objectives and approach Whether you’ll rely on primary research or secondary research Your sampling methods or criteria for selecting subjects Your data collection methods
Reflect on your design practice Most of all, dissertations are an opportunity to reflect on, and develop, your creative process as a designer. "Ultimately, it's your job to make your work relevant and credible, and the dissertation helps you learn how to do this," adds Burston.
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall aims and approach; The type of research design you’ll use; Your sampling methods or criteria for selecting subjects; Your data collection methods; The procedures you’ll follow to ...
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