Statistics

The School of Mathematical Sciences offer programmes in Statistics which aim to provide a perfect blend of mathematical theory with real-world application and reflect the diverse research expertise within the School. The courses are suitable for those with a background in mathematics and statistics and aim to prepare students for particular career options. The Statistics MSc provides flexibility in which optional modules to pursue, while applicants wishing to have a more visible specialism can opt for our Medical Statistics or Statistics and Artificial Intelligence programmes.

Data Science

Data Science is the systematic study of information. Data scientists work with others by taking an initial research or business question and gathering data, from a range of sources, and performing analyses to provide insight and to inform decision making.

A vital component of this course is an industry placement, allowing you to work on a real-life Data Science project.

The School of Computing and Communications administer the Data Science degree, but you will take modules delivered by both the School of Computing and Communications and the School of Mathematical Sciences.

Artificial Intelligence

Statistical principles underpin many of the popular models and algorithms used for machine learning and Artificial Intelligence. There is a demand within industry for graduates with the theoretical and practical expertise necessary to modify and enhance existing AI models. For those interested in a career in Data Science, AI or related areas we recommend our AI pathway, taking modules in Computational Intensive Methods, Unsupervised Learning, Deep Learning and Mathematics for AI. Students wishing to make their specialism in AI more visible may also want to consider our Artificial Intelligence MSc.