Compulsory modules
Data Science	15 credits
Learning Skills through Case Studies	15 credits
Dissertation in Data Science and Analytics	60 credits
Optional modules (selection of typical options shown below)
Information Visualization	10 credits
Machine Learning	15 credits
Artificial Intelligence	15 credits
Programming for Data Science	15 credits
Data Mining and Text Analytics	15 credits
Geographic Data Visualisation & Analysis	15 credits
Applied GIS and Retail Modelling	15 credits
Business Analytics and Decision Science	15 credits
Machine Learning in Practice	15 credits
Survival Analysis	10 credits
Mixed Models	10 credits
Linear Regression and Robustness	15 credits
Statistical Theory	15 credits
Time Series	10 credits
Generalised Linear Models	10 credits
Mixed Models with Medical Applications	15 credits
Linear Regression, Robustness and Smoothing	20 credits
Statistical Theory and Methods	15 credits
Statistical Learning	15 credits
Multivariate Methods	15 credits
Multivariate and Cluster Analysis	15 credits
Time Series and Spectral Analysis	15 credits
Generalised Linear and Additive Models	15 credits
Statistical Computing	15 credits
Transport Data Science	15 credits
Informatics in Health Care	15 credits