Compulsory modules
Data Science	
Learning Skills through Case Studies	
Dissertation in Data Science and Analytics	
Optional modules (selection of typical options shown below)
Distributed Systems	
Machine Learning	
Information Visualization	
Big Data Systems	
Data Management	
Bio-Inspired Computing	
Knowledge Representation and Reasoning	
Systems Programming	
Algorithms	
Practical Programming	
Data Mining and Text Analytics	
Cloud Computing
Semantic Technologies and Applications	
Image Analysis	
Scheduling	
Scientific Computation	
Graph Theory: Structure and Algorithms	
Geographic Data Visualisation & Analysis	
Geodemographics and Neighbourhood Analysis	
Big Data and Consumer Analytics	
Predictive Analytics	
Applied GIS and Retail Modelling	
Effective Decision Making	
Advanced Management Decision Making	
Business Analytics and Decision Science	
Forecasting and Advanced Business Analytics	
Linear Regression and Robustness
Statistical Theory	
Stochastic Calculus for Finance
Multivariate Analysis	
Time Series	
Bayesian Statistics	
Generalised Linear Models	
Statistical Theory and Methods	
Statistical Learning	
Multivariate Methods	
Multivariate and Cluster Analysis	
Time Series and Spectral Analysis	
Bayesian Statistics and Causality	
Generalised Linear and Additive Models	
Statistical Computing	
Transport Data Science