Module manager: tbc
Email: tbc
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2026/27
None
| MATH5010M | Project Skills in Mathematics |
| MATH5710M | Project Skills for Statistics and Finance |
MATH5747M Learning Skills through Case Studies
This module is not approved as an Elective
This module introduces and develops skills needed for the successful completion of a substantive project in statistical data science. Such projects involve independently finding, synthesising, and communicating mathematical and numerical information and using it to solve problems. These skills will be practised in this module through coursework assignments culminating in a short mathematical project.
This module is intended to: (i) prepare students for their project by developing independent learning and research skills; (ii) improve employability through the development of oral and written communication skills with a particular focus on clearly communicating technical information. This will be done through a series of mini-assignments.
Subject specific learning outcomes:
On successful completion of the module students will be able to:
1. Carry out a systematic search strategy to find methodological information and data sources on a given topic.
2. Clearly communicate technical mathematical information both orally and in writing.
3. Clearly communicate the process, results, and interpretation of statistical data analysis both orally and in writing.
4. Use a systematic referencing convention.
5. Word process technical documents including mathematical notation.
6. Conduct reproduceable research and articulate ethical issues relating to that research.
7. Make appropriate use of generative AI tools in conducting academic study.
8. Conduct a short investigative project and communicate the results.
On successful completion of the module students will be able to:
a) Complete a literature search.
b) Write technical documents including mathematical notation and data presentation.
c) Give technical presentations.
d) Plan and carry out independent research.
e) Make appropriate use of technology in their study.
f) Work in a small team.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Practicals | 1 | 2 | 2 |
| Lecture | 3 | 2 | 6 |
| Seminar | 2 | 2 | 4 |
| Private study hours | 138 | ||
| Total Contact hours | 12 | ||
| Total hours (100hr per 10 credits) | 150 | ||
138
Feedback will be provided on each assessment.
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
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