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 Lea Barton 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.
|CS910||Foundations of Data Analytics||1||15|
|CS913||Dissertation Project (MSc Data Analytics)||2, 3 & Summer||60|
|CS917||Foundations of Computing||1||15|
|CS922||High Performance Computing||2||15|
|CS924||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|
|CS918||Natural Language Processing||1||15|
|ES4C4||Optical Communication Systems1||2||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|
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 Lea Barton for advice.