Dissertation (Data Sci Sustain Jan) (985G1JN)
Dissertation (Data Science for Sustainability Jan start)
Module 985G1JN
Module details for 2026/27.
60 credits
FHEQ Level 7 (Masters)
Module Outline
The Dissertation in Data Science for Sustainability gives you the opportunity to carry out independent research or applied project that brings together data science methods and a sustainability-related topic. You will work under the guidance of an academic supervisor to define a clear research question, identify suitable data sources, and apply appropriate statistical or computational techniques. The dissertation allows you to integrate skills developed across the course, including data analysis, modelling, and programming, and to present your work in a substantial written report at Master’s level
Module learning outcomes
Formulate and investigate a clearly defined research question by applying appropriate data science methods to a sustainability-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 |
|---|---|---|---|
| Summer Teaching | Personal Tutorial * | 1 hour | 0100100 |
| Summer Teaching | Seminar | 1 hour | 3300000 |
| Spring Semester | Personal Tutorial * | 1 hour | 000000010010 |
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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