MS4S12 - Professional Skills for Data and AI 04 Dec 2020 - 30 Aug 2026 | Version 1
Associated Module Information
| Module Code: | MS4S12 | ||
|---|---|---|---|
| Module Title: | Professional Skills for Data and AI | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Computing and Mathematics | ||
| Faculty Sub Group: | Maths | ||
| Module Leader: | Rebecca Peters | ||
| Module Team: | Stephanie Perkins, Ieuan Griffiths | ||
| First Intended Intake: | JAN 2025 | Final Year of Intake: | 2025 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100359 - artificial intelligence | 100992 - machine learning | 101034 - statistical modelling |
| HECOS Code Weighting: | 30 | 35 | 35 |
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 04 Dec 2020 |
| Valid To | 30 Aug 2026 |
Module Aims
To enable graduates to enhance their professional and employability skills through engagement in work related activities and evaluation.
Content Summary
This is a professional skills portfolio to be undertaken by the graduate evidenced and assessed through their work-based learning and engagement with the wider programme. The aim is to develop professional skills and behaviours in the workplace and reflect on professional development throughout the programme.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 8 |
| Seminar | 8 |
| Tutorial | 8 |
| Practical classes and workshops | 30 |
| Work based learning | 70 |
| Independent Study | 40 |
| Directed Study | 36 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Demonstrate a thorough understanding of their own personal skills development relevant to Data/AI. |
| LO2 | Undertake ways to enhance their professional skills in future study and work-based learning. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Portfolio 2 | Self-reflective assessment Work based evidence of professional development | 0 | 3000 | 50 | No | 40 |
| Asynchronous Assessment | Portfolio 1 | Programme activities Hackathon, Poster Presentation & Formal presentation | 0 | N/A | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Portfolio 2 | ✔ | ✔ | |
| Portfolio 1 | ✔ | ✔ | |