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Optional Modules

Students will take at least two taught optional modules, usually in the second term (Spring term, January to March). These must equate to a minimum of 30 CATS (credits). Some of the more popular/frequently taken optional modules for MathSys students are listed below.

Students should check on the availability of these modules with the host department(s), noting that other departments may have their own registration processes that differ to those of the CDT. All optional module choices must be approved by the MSc Coordinator. Permission from the host department may also be required.

Optional modules must be at PGT level or above (i.e. the module code must be XX4 or XX9, where "XX" is the department code). Students who were previously at Warwick must choose modules that they have not taken before.

The MathSys CDT has no control over the content, delivery, or timetabling of modules taken in other departments. The list provided below is for inspiration only and is not meant to be exhaustive.

CS904-15 Computational Biology

CS909-15 Data Mining

CS918-15 Natural Language Processing

CS924-15 Agent Based Systems

CS939-15 Quantum Computing *please ensure that you register for CS939 and not CS419*

EC994-18 Applications of Data Science

MA4F7-15 Brownian Motion

MA482-15 Stochastic Analysis

MA4E7-15 Population Dynamics: Ecology and Epidemiology

MA4M1-15 Epidemiology by Example [usually taught by Prof Kat Rock, a member of the MathSys Management Team]

MA4M9-15 Mathematics of Neuronal Networks [usually taught by Prof Magnus Richardson, a member of the MathSys Management Team]

PS918-15 Psychological Models of Choice *please register for the 15-CAT version, not the 10-CAT version*

PS931-15 Bayesian Approaches in Behavioural Science

ST405-15 Bayesian Forecasting and Intervention with Advanced Topics

ST409-15 Medical Statistics with Advanced Topics

ST418-15 Statistical Genetics with Advanced Topics

ST419-15 Advanced Topics in Data Science

ST420-15 Statistical Learning and Big Data

ST958-15 Advanced Trading Strategies

Other modules from Engineering, Economics, Psychology, Statistics, Computer Science