This programme is available in Edinburgh
Programme Director: Dr Stefano Padilla (Edinburgh)
Programme Code: F2DT-CDD
For further information about course choices consult:
If you want to start your career with a year’s work experience in hand, then you should consider this degree. It combines the rigorous studies of the BSc (Hons) Computer Science (Data Science) with a year of work placement in Year 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 Co-ordinator: Dr Robert Stewart
|Semester 1||Semester 2|
|F27SA Software Development 1||F27SB Software Development 2|
|F27ID Introduction to Interaction Design||F17SC Discrete Mathematics|
|F27PX Praxis||F27CS Introduction to Computer Systems|
|F17LP Logic and Proof||F27WD Web Design and Databases|
Year Co-ordinator: Dr Phil Bartie
Year 2 Structure from 2020-21
Year Co-ordinator: Dr Frank Broz
Year Co-ordinator:Professor Albert Burger (Edinburgh)
|Semester 1 (Mandatory)||Semester 2 (Mandatory)|
|F28IA Industrial Training Placement A||F28IB Industrial Training Placement B|
Year Co-ordinators:Professor Albert Burger (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.