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Data Analytics MSc 2020/21

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 at the start of Term 1.

Information about applying for this course is also available.

Core Modules

Code Name Term CATS Credits
CS908 Research Methods 1 15
CS909 Data Mining 2 15
CS910 Foundations of Data Analytics 1 15
CS913 Dissertation Project (MSc Data Analytics) 2, 3 & Summer 60
CS917 Foundations of Computing
1 15

Optional Modules

Code Name Term CATS Credits
CS922 High Performance Computing 2 15
CS923 Agent Based Systems
2 15
CS929 Algorithmic Game Theory 1 15
CS933 Image and Video Analysis 1 15
CS912 Sensor Networks and Mobile Data Communications 1 15
CS915 Advanced Computer Security 1 15
CS916 Social Informatics 2 15
CS918 Natural Language Processing
1 15
ES4C8 Signal and Image Processing1 2 15
ES4C4 Optical Communication Systems1 2 15
ES4D2 Antenna, Propagation and Wireless Communications Theory1 1 15
ES96T Advanced Wireless Systems and Networks1 2 15
ES4E7 Information Theory and Coding1 1 15
IM913 Spatial Methods and Practice in Urban Science2 1 15
IM919 Urban Data - Theory and Methodology2 2 15
IM921 Visualisation2 2 15

Footnotes

1This is provided by the School of Engineering.

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