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Data Analytics MSc 2019/20

General information and guidance about the course is available in the handbook (local access only).

Students are required to take a load of 180 CATS credits. All students must take five core modules totaling 120 CATS, along with an additional 60 CATS from the optional list below.

Please note - Optional modules coded ES* and IM* are offered by external departments and places on these modules cannot be guaranteed. It is, therefore, important to register for these modules with Sharon Hayes in the Department of Computer Science - information about how to do it will be provided during the Induction session on 30 September 2019.

Information about applying for this course is also available.

Core Modules




CS908 Research Methods 1 15 A(100)
CS909 Data Mining 2 15 E(40) A(60)
CS910 Foundations of Data Analytics 1 15 E(50) A(50)
CS913 Dissertation Project (MSc Data Analytics) 2, 3 & Summer 60 A(100)
CS917 Foundations of Computing 1 15 A(100)

Optional Modules

CS402 High Performance Computing 2 15 E(70) A(30)
CS404 Agent Based Systems 2 15 E(50) A(50)
CS409 Algorithmic Game Theory 1 15 E(80) A(20)
CS413 Image and Video Analysis 1 15 E(70) A(30)
CS912 Sensor Networks and Mobile Data Comms 1 15 E(60) A(40)
CS915 Advanced Computer Security 1 15 E(70) A(30)
CS916 Social Informatics 2 15 E(70) A(30)
CS918 Natural Language Processing 1 15 E(70) A(30)
ES4C8 Signal and Image Processing1 2 15 E(80) A(20)
ES4C4 Optical Communication Systems1 2 15 See course details
ES4D2 Antenna, Propagation and Wireless Communications Theory1 1 15 See course details
ES96T Advanced Wireless Systems and Networks1 2 15 See course details
ES4E7 Information Theory and Coding1 1 15 See course details
IM913 Spatial Methods and Practice in Urban Science2 1 15 See course details
IM919 Urban Data - Theory and Methodology2 2 15 See course details
IM921 Visualisation2 2 15 See course details


1This is provided by the School of Engineering.

2This is provided by the Centre for Interdisciplinary Methodologies. These courses require in-person registration and places are limited. Please see Sharon Hayes for advice.