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Department of Mathematics

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.

TypeTimingWeighting
Dissertation (10000 words)Summer Vacation Week 15 Mon 17:0080.00%
Oral assessmentSummer Vacation Week 16 Fri 17:0020.00%
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.

TermMethodDurationWeek pattern
Spring SemesterSeminar1 hour330000000000
Spring SemesterPersonal Tutorial *1 hour010010000000
Summer TeachingPersonal Tutorial *1 hour0100100

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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