Data-Intensive Analysis

• A 2.1 Honours undergraduate degree, plus evidence of some previous programming experience in an object-orientated language (for example, Java).
• If you studied your first degree outside the UK, see the international entry requirements.

The MSc in Data-Intensive Analysis is an interdisciplinary course providing students with an understanding of how data is used to gain useful insights in all areas of scientific endeavour. The programme has a substantive statistical component – both theory and practice – allied to computational data science and visualisation.

This is a one-year taught programme run collaboratively by the Schools of Mathematics and Statistics and Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.

Highlights

• The course develops practical skills in derivation, validation and deployment of predictive models based on collected data, and provides training in the use of industry- and research-standard technologies and techniques.
• Students undertake a significant project including a wide-ranging investigation leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
• Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.