Most UK dissertations, whether empirical or library-based, follow a recognisable structure. Your department handbook always has the final say, so check it for required headings, word limits and whether things like the abstract count towards your total. But understanding why each part exists makes it far easier to write.
The standard structure at a glance
| Part | Job it does | Typical share of word count |
|---|---|---|
| Abstract | Summarises the whole project | Usually excluded (150–300 words) |
| Introduction | Sets up the problem and your aims | About 10% |
| Literature review | Shows what is known and where the gap is | 20–30% |
| Methodology | Explains and justifies how you did it | 10–15% |
| Results or findings | Presents what you found | 15–20% |
| Discussion | Interprets what it means | 20–25% |
| Conclusion | Answers the question, notes limits | 5–10% |
These proportions are a rule of thumb, not a requirement. A theoretical dissertation may have no separate results chapter, and a systematic review will have a much longer methods section.
Abstract
The abstract is a miniature version of the dissertation: the problem, your aim, your method, your key findings and why they matter. Write it last. A common mistake is to write an abstract that only introduces the topic (“This dissertation will explore…”) without saying what you actually found.
Introduction
Your introduction should answer four questions for the reader:
- What is the context? Briefly, why this topic matters now.
- What is the problem? The specific gap, tension or question your work addresses.
- What are your aims and research questions? Stated clearly enough that a marker can check later whether you answered them.
- How is the dissertation organised? A short roadmap of the chapters.
Keep background brief here; detailed discussion of previous research belongs in the literature review.
Literature review
The literature review is not a list of summaries. Its job is to synthesise what is already known, evaluate the strength of that evidence and identify the gap your project addresses. Organising by theme or debate, rather than source by source, is the single biggest improvement most students can make.
Useful questions to ask of every section: where do authors agree? Where do they disagree, and why? What methods have they used, and what are the limitations? What has not been studied?
Methodology
Markers want to see that your choices were deliberate. For each decision (research design, sampling, data collection, analysis), explain what you did and why it suits your research question better than the alternatives. Include ethical considerations and be honest about limitations; acknowledging them shows understanding rather than weakness.
If you are using statistics or qualitative coding, name the specific test or approach and the software you used, so the work could in principle be repeated.
Results or findings
Present what you found clearly and without interpretation. That comes next. For quantitative work, report the statistics your discipline expects (for example test statistic, degrees of freedom, p-value and effect size in APA style) and use tables and figures that are numbered, titled and referred to in the text. For qualitative work, present themes with representative quotations, and explain how the themes were developed.
Discussion
This is where you earn the highest marks. Interpret your findings: what do they mean, and how do they compare with the literature you reviewed? Where they differ, offer plausible explanations. Discuss implications for theory, policy or practice, and return to the limitations you raised in your methodology, explaining how they affect your conclusions.
Conclusion
Answer your research questions directly, summarise your contribution and suggest specific directions for future research. Avoid introducing new evidence. A strong conclusion is usually shorter than students expect.
References and appendices
Use the referencing style your department requires, consistently, for every source cited in the text and nothing that isn’t. Appendices are for material that supports the work but would interrupt it, such as consent forms, interview schedules, full statistical output or coding frameworks. They should not be used to get around the word limit.
Common structural mistakes
- Research questions that drift. The questions in your introduction, methodology and conclusion should match.
- A literature review that doesn’t lead anywhere. It should end by showing the gap your study fills.
- Interpreting in the results chapter and then repeating it in the discussion.
- A discussion that ignores the literature you spent a chapter reviewing.
- Leaving the abstract and introduction until the night before. Both are easier, and better, after the rest is drafted, but they need time.
Getting support
If you’re stuck at a particular stage, dissertation coaching can help you plan, get unstuck and get feedback on your own drafts. If your project involves statistics or qualitative analysis, our research methods and data analysis support can help you choose and run the right approach yourself.