Data Science Research Methods (L6) (G5222)
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Data Science Research Methods (L6)
Module G5222
Module details for 2025/26.
15 credits
FHEQ Level 6
Module Outline
This module will provide students with the practical tools and techniques required to complete the Data Science Process: data pre-processing, exploratory data analysis, communication and visualisation, mathematical modelling, and the development of a data solution or product. To do this, students will get to develop their programming skills and be introduced to some fundamental data science packages/libraries.
As well as learning about standard methodologies for data processing and exploring, students will be introduced to some advanced mathematical tools and techniques data scientists use in their day-to-day lives, such as regression models, classification, and clustering. In practical sessions, students will be able to apply these tools and techniques to real-world datasets.
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 | 10.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | T1 Week 11 | 50.00% |
| Peer review exercise | T1 Week 9 | 50.00% |
| Coursework | 70.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | A1 Week 1 | 100.00% |
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T1 Week 8 | 100.00% |
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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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.