Dissertation topics
A build alone is not a dissertation. Each idea below pairs an artefact with an evaluation question you can defend in a viva.
How does chunking strategy affect factual accuracy in a retrieval-augmented question-answering system over a fixed corpus?
Measurable, reproducible, and the artefact doubles as your experimental apparatus.
Stress-test this questionHow do developers triage warnings produced by static analysis tools, and which factors predict dismissal?
Mixed methods: tool output plus short think-aloud sessions.
Stress-test this questionWhat proportion of automated accessibility violations persist across releases of popular open-source web apps?
Fully public data, scriptable collection, clear quantitative results.
Stress-test this questionEach mode questions and explains — it never writes your dissertation for you.
A decision path from research question to methodology, plus how to write the justification examiners are looking for.
The difference between results and discussion, a reliable structure, and how to make claims your data can support.
The standard dissertation structure explained chapter by chapter, with indicative word counts, what each chapter must prove, and how the chapters connect.
Find a subject angle that is narrow enough to research and interesting enough to finish.
A practical method for choosing a dissertation topic you can actually research: start from curiosity, test feasibility, and narrow until the topic is doable.
Research gaps explained in plain English: the main types of gap, how to find one in your reading, and how to write a gap statement you can defend.
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