Dissertation (Data Sci for Health Jan) (984G1JN)
Dissertation (Data Science for Health Jan entry)
Module 984G1JN
Module details for 2026/27.
60 credits
FHEQ Level 7 (Masters)
Module Outline
The Dissertation in Data Science for Health provides an opportunity to undertake independent research or applied project focused on a health-related problem. Under the guidance of an academic supervisor, you will define a clear research question, identify and work with appropriate health data sources, and apply suitable statistical or computational methods. The dissertation enables you to integrate skills developed across the course, including data analysis, modelling, and programming, and to present your work in a written report that demonstrates methodological rigour and critical understanding of health applications.
Module learning outcomes
Formulate and investigate a clearly defined research question by applying appropriate data science methods to a health-related problem.
Design, implement, and justify rigorous statistical or computational analyses using suitable data and reproducible workflows.
Critically evaluate data, methods, and results.
Communicate analytical findings effectively in written and oral form.
| Type | Timing | Weighting |
|---|---|---|
| Dissertation (10000 words) | Summer Vacation Week 15 Mon 17:00 | 80.00% |
| Oral assessment | Summer Vacation Week 16 Fri 17:00 | 20.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Seminar | 1 hour | 330000000000 |
| Spring Semester | Personal Tutorial * | 1 hour | 010010000000 |
| Summer Teaching | Personal Tutorial * | 1 hour | 0100100 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
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