The aim of this programme is to produce highly-skilled graduates with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science. It emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle.

 

The primary aim is to develop expert knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data.

 

The focus of this programme is the development of expert knowledge and highly sought after skills in the data analytics field and the application of that knowledge to industry-focused problems. However, the inclusion of cross-modular data projects together with a major 10-credit Data Project module gives this programme a very practical focus, enabling participant to apply the knowledge and techniques gained to industry-type problems.