Data-Intensive Analysis (MSc)

This is an interdisciplinary course from the School of Mathematics and Statistics and the School of Computer Science. It provides an understanding of how data is used to gain useful insights in all areas of science. The programme has a substantive statistical component – both theory and practice – allied to computational data science and visualisation. Develop your practical skills in derivation, validation and deployment of predictive models based on collected data, and train in the use of industry- and research-standard technologies and techniques. Extend your specialist knowledge and critical thinking with a project involving a wide-ranging investigation and a substantial software development, leading to your dissertation. Access modern computing laboratories 24 hours a day. These labs are student spaces which support the close-knit community within the School where students at different stages of study and disciplinary interests can meet. There are also areas where groups can work together on projects.

A 2:1 undergraduate Honours degree in a STEM subject or equivalent professional experience. demonstrable interest or experience in statistical data analysis in an academic or professional setting. some experience with object-oriented programming such as R, Python, C++ or Java.