Course Overview

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

The course focuses on using 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 various 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 similar degrees' narrow interpretation of the subject. It presents significant business opportunities to recruit data analytics experts with high-level expertise and knowledge.

Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations who present case studies and challenging projects to our students.

General Eligibility

Academic requirements

MSc: Minimum second-class Honours degree, or overseas equivalent (see our country pages for further information) in:

• mathematics

• the natural sciences

• engineering

• economics/finance

Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.

Part Time Work Details

20 hours of work permit weekly for international students.

Language Requirement

• IELTS 6.5 overall (no individual band less than 5.5)