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Dissertation structure, plagiarism and responsible AI use

A clear structure makes a big piece of writing manageable. Honest practice, including how you use AI tools, protects your degree.

Last updated 2 November 2026

A typical dissertation structure

Layouts vary by subject and university, so check your handbook. Most empirical dissertations follow this order.

SectionWhat it does
Title page and abstractTitle, and a short summary of the question, method, findings and conclusion
Contents and listsTable of contents, and lists of tables and figures if required
IntroductionContext, the research question, aims and a roadmap of the chapters
Literature reviewWhat is already known, how studies agree or disagree, and the gap your project fills
MethodologyHow you collected and analysed data, why, and the ethics
Results or findingsWhat you found, presented clearly with tables and figures
DiscussionWhat the results mean, how they relate to the literature, and the limits
ConclusionA direct answer to your question, implications and ideas for future research
ReferencesEvery source cited, in your required style
AppendicesMaterial such as survey forms and consent sheets

A literature-based dissertation has no data chapters. Instead, it builds an argument through themed sections.

Planning the word count

For a 10,000-word dissertation, a rough split might be introduction 10%, literature review 25%, method 15%, results 20%, discussion 20% and conclusion 10%. Adjust for your subject and the marking criteria.

Writing tips

What plagiarism is

Plagiarism means presenting someone else's work, words or ideas as your own. This includes copying text without quotation marks and a citation, paraphrasing too closely, failing to reference an idea, reusing your own previous submitted work without permission and having someone else write your work. Universities treat it as academic misconduct, with penalties that can be severe. It also includes accidental plagiarism, which comes from poor note-taking, so the habits below matter.

How to avoid it

  1. Note sources as you go. Write the reference and page number with every note.
  2. Mark quotes clearly in your notes so you do not later mistake them for your own words.
  3. Paraphrase properly. Understand the idea, close the source, write it in your own words, then cite.
  4. Cite every idea, figure and quote. See referencing basics.
  5. Use the library's guidance on referencing and academic integrity.

Similarity-checking software is widely used. A high match score is not automatically plagiarism, but it will prompt a closer look.

Responsible use of AI tools

Generative AI tools are now common, and universities have different rules about them. Some allow limited use, such as brainstorming or checking grammar, if declared, and others forbid use in assessed work. Your module or department policy always overrides general advice.

If you are unsure, ask your tutor or supervisor, and keep drafts and notes as evidence of your process.

Before you submit

  1. Check the word count rules, formatting and deadline.
  2. Check that every in-text citation appears in the reference list, and the reverse.
  3. Proofread, and ask a friend to read it.
  4. Keep a copy and submit early.

Revisit the research overview for the full list of stages, or go back to methods, surveys and ethics.

Frequently asked questions

What goes in a dissertation?

Typically an abstract, introduction, literature review, methodology, results, discussion, conclusion, references and appendices. Check your handbook for the exact order.

Is paraphrasing plagiarism?

Paraphrasing without a citation is plagiarism, and so is changing only a few words. Put the idea in your own words and cite the source.

Can I use AI in my coursework?

It depends on your university and module. Read the policy, declare use where required and never submit AI text as your own unless the rules allow it.

Sources

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