This programme is available in Edinburgh
Programme Director: Dr Hans Wolfgang Loidl (Edinburgh)
Programme Code: F2D3-CDS
For further information about course choices consult:
- Programme Structure and Progression Rules
- BSc Computer Science Handbook: (Edinburgh)
If you want to start your career with a year’s work experience in hand, then you should consider this course. It combines the rigorous studies of the BSc (Hons) Computer Science (Data Science) with a year of work placement in level 4. Good performance means 12 months experience of working in an organisation in the computing sector. The Diploma in Industrial Training is gained through successful completion of the work placement. The work placement helps you to develop specific work-related skills, giving you the opportunity to apply and build upon the theory you’ve learned. This course aims to give a well-integrated balance of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff.
Accreditation: BSc (Hons) Computer Science is accredited by British Computer Society, the Chartered Institute for IT.
Year 1
Year 1 Year Co-ordinator: Dr Michael Lones (Edinburgh)
Year 2
Year 2 Year Co-ordinator: Dr Tessa Berg (Edinburgh)
Year 3
Year 3 Year Co-ordinator: Dr Frank Broz (Edinburgh)
Year 4
Year 4 Year Co-ordinator: Dr Alasdair Gray
| Semester 1 (Mandatory) | Semester 2 (Mandatory) |
|---|---|
| F28IA Industrial Training Placement A | F28IB Industrial Training Placement B |
Year 5
Year 5 Year Co-ordinator: Dr Alasdair Gray (Edinburgh)
To graduate with the degree BSc Computer Science (Data Science) candidates must take the two mandatory courses in Stage 5, Data Mining & Machine Learning (F20DL) and Big Data Management (F20BD). You must also do one of the two following optional courses, Data Visualisation & Analytics (F20DV) or Statistical Modelling & Analysis (F20SA). You must also do an approved dissertation topic suitable for this specialism.