BSc Computer Science (Data Science) and Diploma in Industrial Training

This programme is available in Edinburgh

Programme Director: Dr Stefano Padilla (Edinburgh)

Programme Code: F2D3-CDS

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 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 Robert Stewart (Edinburgh)

Semester 1Semester 2
F27SA Software Development 1F27SB Software Development 2
F27ID Introduction to Interaction Design F17SC Discrete Mathematics
F27PX Praxis F27CS Introduction to Computer Systems
F17LP Logic and ProofF27WD Web Design and Databases

Year 2

Year 2 Year Co-ordinator: Dr Phil Bartie (Edinburgh)

Year 2 Structure 2019-20 (Transition Year)

Semester 1Semester 2
F28ED User-Centred Experimental DesignF28SD Software Design
F28WP Web ProgrammingF28DM Database Management
F28DA Data Structures & AlgorithmsF28HS Hardware-Software Interface
F28PL Programming LanguagesF17SC Discrete Mathematics

Year 2 Structure from 2020-21

Semester 1Semester 2
F28ED User-Centred Experimental DesignF28SD Software Design
F28WP Web ProgrammingF28DM Database Management
F28SG Software Development 3F28HS Hardware-Software Interface
F28PL Programming LanguagesF28DA Data Structures & Algorithms

Year 3

Year 3 Year Co-ordinator: Dr Frank Broz (Edinburgh)

SemesterSemester 2
F29SO Software EngineeringF29PD Professional Development
F29DC Data Communications & NetworkingF29OC Operating Systems & Concurrency
F29AI Artificial Intelligence & Intelligent AgentsF29LP Language Processors
F29FA Foundations 1F29FB Foundations 2

Year 4

Year 4 Year Co-ordinator:Prof. Fairouz Kamareddine (Edinburgh)

Semester 1 (Mandatory)Semester 2 (Mandatory)
F28IA Industrial Training Placement AF28IB Industrial Training Placement B

Year 5

Year 5 Year Co-ordinator:Prof. Fairouz Kamareddine (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.

Semester 1 (Mandatory)Semester 2 (Mandatory)
F20PA Project: Research Methods & Requirements EngineeringF20PD Project: Design & Implementation (Data Science)
F20DL Data Mining & Machine LearningF20PE Project: Testing & Implementation (Data Science)
F20BD Big Data Management
(Optional – Choose 3) Optional (Choose 2)
F20CL Computing in the Classroom F20AD Advanced Interaction Design
F20BC Biologically Inspired ComputationF20AN Advanced Network Security
F20CN Computer Network SecurityF20CA Conversational Agents & Spoken Language Processing
F20GA 3D Graphics and Animation F20DP Distributed & Parallel Technologies
F20IF Information System Methodologies F20DV Data Visualisation & Analytics
F20RO Intelligent Robotics F20EC E-Commerce Technology
F20RS Rigorous Methods for Software Engineering F20GP Computer Games Programming
F20SA Statistical Modelling and Analysis
F20SC Industrial Programming