Convincing Features
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| Core emphasis | Primary data, feasible topic, Data Science relevance, thesis-style writing, and visible weekly progress. |
| Working use | Use this as a supervisor-guided checklist before finalising the topic, drafting the proposal, and preparing weekly updates. |
The capstone project must be clearly related to Data Science and Analytics. The study should address a data-driven problem, apply appropriate analytical methods, and produce a practical research output.
The project should rely mainly on primary data collected by the student. Public or secondary data may be used only for supporting comparison and should not be the main source of data.
The research should include one research aim, about four research objectives, one main research question, and no hypothesis.
The writing should be in academic English, coherent and connected, written in thesis style, and not presented as an outline-only draft broken into too many short subsections. The supervisor expects fuller paragraphs, better flow between sections, and enough content and volume rather than overly shortened writing.
The proposal should follow a structured format similar to the sample shared by the supervisor:
The supervisor may review the work chapter by chapter. Students should be ready to submit work in chapter form, not only as a short overview note. The expected thesis structure is Chapter 1:
Introduction, Chapter 2: Literature Review, Chapter 3: Research Methodology, Chapter 4: Results and Analysis, and Chapter 5: Conclusion and Recommendations. There is no need for Chapter 6.
The supervisor does not want frequent messages about every small detail or delay. Students should avoid constant process updates, avoid sending messages for every minor difficulty, and report progress only when something reasonable and substantial has been completed.
Students are expected to work steadily, meet weekly expectations, come to meetings with visible progress, and avoid falling behind without real output.
Use APA 7th edition unless the supervisor or faculty states otherwise.
Before finalising the topic, the student should be able to answer the following questions:
Most important requirements
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