The MSc Data Analytics is designed to create rounded data analytics problem-solvers.

The course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.

You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.

The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:

Department of Management Science
Department of Mathematics & Statistics
Department of Computer & Information Sciences
This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.

What youll study:
The core Data Analytics in Practice class runs over both semesters and provides you with a practical environment to apply methodological learnings from other classes into challenging projects from industry.
Careers
The aim of the course is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.

Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics.

Graduates will display abilities across the three component disciplines. Examples of graduate employers and job roles include:

Software Development Engineer - Machine Learning at RBS
Junior Data Scientist at V.Group
Data Scientist at Solita Scandinavia
Business Analyst at Scottish Power
IT Graduate at Scottish Power.

Accreditation: AACSB, EQUIS & AMBA
Application deadline: applications are accepted throughout the year