Year 3 (from 2025/26)

Semester A

Two compulsory modules:

• MTH6102 Bayesian Statistical Methods
• MTH6134 Statistical Modelling II

Choose two modules from:

• MTH5124 Actuarial Mathematics I†
• MTH6101 Introduction to Machine Learning†
• MTH6138 Third Year Project
• MTH6141 Random Processes
• MTH6151 Partial Differential Equations
• MTH6154 Financial Mathematics I    

Semester B

Choose four modules from:

• MTH6101 Introduction to Machine Learning‡
• MTH6110 Communicating and Teaching Mathematics (by approval in semester A)**
• MTH6113 Mathematical Tools for Asset Management
• MTH6138 Third Year Project
• MTH6139 Time Series
• MTH6142 Complex Networks
• MTH6150 Numerical Computing with C and C++
• MTH6155 Financial Mathematics II
• MTH6161 Neural Networks and Deep Learning‡

** Participation in MTH6110 is subject to a selection process which takes place during semester A. If you are not selected to take part in MTH6110, you will need to change your module choice at the start of semester B.

Off-pathway modules

Modules outside this pathway (normally a maximum of 15 credits) may be taken with School approval. Permission to select off-pathway modules will not be granted until the timetable is finalised in September 2025. Off-pathway Level 4 or 5 modules will not be permitted.