Structure
Required modules
Statistical Theory (15 credits)
Bayesian Statistics (15 credits)
Computational Statistics (15 credits)
Multivariate and High-dimensional Statistics (15 credits)
MSc Statistics Project (60 credits)
Optional modules
Additionally, you are required to take 60 credits from a range of optional modules, which may typically include:

Probability Theory (15 credits)
Theory of Complex Networks (15 credits)
Elements of Statistical Learning (15 credits)
Design of Experiments (15 credits)
Stochastic Analysis (15 credits)
Machine Learning (15 credits)
Stochastic Processes and Applications (15 credits)
Time Series Analysis (15 credits)
Computer Programming for Data Scientists (15 credits)
Data Mining (15 credits)
Pattern Recognition, Neural Networks & Deep Learning (15 credits)