Data Science Methods (L6) (G5222)
Data Science Methods (L6)
Module G5222
Module details for 2026/27.
15 credits
FHEQ Level 6
Module learning outcomes
Analyse and explore real-word datasets using appropriate tools and techniques.
Systematically understand the context of when tools and techniques for data analysis can be applied in different scenarios.
Apply, evaluate, and interpret tools and techniques for data analysis and visualisation in different scenarios.
Produce an analysis of datasets and apply data visualisation tools and techniques to present data and analyses in an appropriate format.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 8 | 100.00% |
| Coursework | 70.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | A1 Week 1 | 100.00% |
| Coursework | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 50.00% |
| Peer review exercise | T1 Week 9 | 50.00% |
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 |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Laboratory | 2 hours | 11111111111 |
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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