Course summary
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.
Modules
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; Fundamentals of Machine; Learning for Data Analytics; Financial Econometrics; Bayesian Spatial Statistics; Mathematical Introduction to Networks; Stochastic Modelling for Analytics; Business Simulation Modelling; Risk Analysis & Management; Business Information Systems; Advanced Machine Learning for Data Analytics
Assessment method
Assessment methods include a mix of written assignments, exams, practical team projects, presentations and individual projects.
Entry requirements
Second-class Honours degree or non-UK equivalent in mathematics, 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.
Fees and funding
Tuition fees
| England | £11550 | Year 1 |
| Northern Ireland | £11550 | Year 1 |
| Scotland | £11550 | Year 1 |
| Wales | £11550 | Year 1 |
| International | £21850 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ