PG Industrial Placement (Data Science) (900G1)
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PG Industrial Placement (Data Science)
Module 900G1
Module details for 2025/26.
180 credits
FHEQ Level 7 (Masters)
Module Outline
This is an industrial placement module which involves spending 40 weeks (minimum) in the employment of a company. It is incorporated as part of a (360 credit) Masters degree course to provide industrial experience and broaden student learning.
Module learning outcomes
Demonstrate experience of working within a commercial environment.
Work within a company's procedural framework.
Demonstrate knowledge and understanding of company mechanisms for optimising resources, meeting customer expectations and ensuring sustainability.
Work within a framework of company policies, including: confidentiality, Health and Safety, and behavioural standards
Apply knowledge, gained in an academic environment, to practical problems encountered in a commercial environment
| Type | Timing | Weighting |
|---|---|---|
| Report (5000 words) | Resit assessment period Week 1 Thu 16:00 | 70.00% |
| Presentation | Resit assessment period Week 1 Mon 09:00 | 20.00% |
| Report (2000 words) | Spring Semester Week 11 Thu 16:00 | 10.00% |
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 | Seminar | 2 hours | 10001000100 |
| Spring Semester | Seminar | 2 hours | 10001000100 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr James Bennett
Convenor, Assess convenor
/profiles/415831
Prof Julie Weeds
Assess convenor
/profiles/116624
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