
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)