The MSc Data Analytics is designed to create rounded data analytics problem-solvers. it 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 will 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 has been jointly developed by the Departments of Management Science, Mathematics & Statistics and Computer & Information Sciences. It brings together essential skills from all three departments in order to address the needs of a fast-growing industry.
This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.
You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department.

Study Details:

MSc 12 months full-time PG Dip 9 months full-time

Module Details:

Core classes: Big Data Fundamentals; Big Data Tools & Techniques; Data Analytics in R; Business & Decision Modelling; Optimisation for Analytics; Data Analytics in Practice; Dissertation in Data Analytics
Elective classes: Database Fundamentals; Evolutionary Computation for Finance 1; Evolutionary Computation for Finance 2; Legal, Ethical & Professional Issues for the Information Society; Fundamentals of Machine; Learning for Data Analytics; Financial Econometrics; Bayesian Spatial Statistics; Networks in Finance; Mathematical Introduction to Networks; Stochastic Modelling for Analytics; Business Simulation Modelling; Risk Analysis & Management; Business Information Systems

Programme Funding

Please see our website for funding opportunities


Please visit our website for fee information -

Entry Requirements

Second-class Honours degree, or equivalent, in mathematics, the natural sciences, engineering, or economics/finance. Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.

Minimum of a pass degree or equivalent in an appropriate subject. Subject to performance diploma students may transfer from the diploma course to the MSc.

Please see our website for how to apply

Visit Website Request Information Add to Compare List

Key Information

Please see our website for how to apply

Visit Website
Request Information
Add to Compare List

University Hub

Strathclyde Business School

More Information