Chapter One
How to Write a Research Problem Statement
Turn a broad final year project idea into a bounded, evidence-led problem statement, with a worked example and a review checklist.
Read guideFinal year project writing
Practical guides for shaping a research problem, choosing evidence, explaining your method and checking the final document. Examples are starting points to adapt with your supervisor.
The writing path
Chapter One
Turn a broad final year project idea into a bounded, evidence-led problem statement, with a worked example and a review checklist.
Read guideChapter One
Align a final year project aim, specific objectives, research questions and hypotheses with the evidence and method you can use.
Read guideChapter Two
Plan, organise and synthesise relevant sources into a critical literature review that supports a final year project question and method.
Read guideChapter Three
Explain and justify your research design, evidence, sampling, instruments, procedure and analysis so a reader can assess the study.
Read guideChapters Four and Five
Present the evidence you collected, answer each research question, interpret findings against prior work and report limitations without inventing results.
Read guideFinal Chapter
Close a final year project by answering its questions from the findings, drawing proportionate conclusions and making feasible recommendations.
Read guideFront Matter
Draft a concise abstract that accurately summarises a completed study's problem, purpose, method, actual findings and conclusion.
Read guideReferences
Connect in-text citations to a complete, consistent reference list and verify every author's name, title, date and source link.
Read guideFinal review
Check your department's submission rules, use the editable DOCX export settings, review front matter and references, and prepare a final copy.
Read guideChapter One
A practical sequence for building an introduction, problem, questions, objectives, significance and scope that agree with one another.
Read guideProject defence
Build a concise presentation, explain your choices and practise evidence-based answers without memorising a script or overstating results.
Read guideAcademic integrity
A practical method for paraphrasing accurately, citing borrowed ideas and avoiding patchwriting, fabricated references and misleading similarity-score promises.
Read guideData analysis
Choose analysis from the research question, describe estimates and uncertainty, and interpret p-values without turning a threshold into a conclusion.
Read guideTopic selection
Use your actual programme requirements, available evidence and project scope to choose a feasible topic across Nigerian qualification pathways.
Read guideProject materials and source code
Distinguish a teaching example from a finished project, verify code provenance and adapt a starter through your own requirements and tests.
Read guideResearch ethics and analysis
Label synthetic examples, keep calculations reproducible and separate teaching outputs from findings about real participants or populations.
Read guideComputer Science methods
Turn a software project idea into testable requirements, a bounded build plan and a transparent evaluation with evidence you can reproduce.
Read guideEngineering methods
Check equipment, safety, variables and measurement uncertainty before you commit to an engineering build or laboratory study.
Read guideBusiness and social science methods
Choose between a survey and available records, define the population and variables, and plan analysis and privacy safeguards before collecting evidence.
Read guideHumanities and education methods
Choose a bounded text corpus or classroom question, define a transparent analysis method and address permissions before gathering evidence.
Read guideAcademic seminar
Shape a seminar around one arguable question, synthesise credible sources and adapt the written argument for an audience and allotted time.
Read guideFeasibility study and business plan
Compare options, test market and operating assumptions against traceable evidence, and present a bounded feasibility analysis without inventing forecasts.
Read guideSoftware project materials
Use an actual runnable teaching report and small Node.js starter to connect project scope, requirements, implementation evidence and honest adaptation.
Read guide