Dissertation
Applied Statistics
Machine Learning and Data Mining
Modelling Experimental Data
Text Analytics (optional)
Neural Networks and Deep Learning (optional)
Bayesian Computational Statistics (optional)
Big-Data for Computational Finance (optional)
Combinatorial Optimisation (optional)
Data, Probability and Statistics (optional)
High Performance Computing (optional)
Natural Language Engineering (optional)
Nonlinear Programming (optional)
Introduction to Programming in Python (optional)
Information Retrieval
Data Science and Decision Making (optional)
Research Methods
Statistical Methods (optional)
Stochastic Processes (optional)