Sports Data Science

Heriot-Watt University


Edinburgh Campus


Today’s sporting industry is heavily dependent on access to sporting analytics and reliable validated data. In order to compete in this industry, teams and individuals must be able to utilise this data to evaluate their weaknesses and develop their strengths, in an effort to excel in one of the world’s most competitive industries.

This brand new MSc has been developed in response to this marked growth in the demand for individuals with performance analysis knowledge and data skills within the sporting industry. On this programme students will be taught how to analyse very large and complex data sets (‘Big Data’) that are now being generated by athletes across all sports, they will learn how to apply data science techniques in the area of sports performance, to provide a data-driven approach to unique and improved sports training pathways.

Students will also learn how to model, store and process data sets using the latest algorithms and techniques, as well as how to interpret sports performance data and develop performance pathways to enhance the overall performance of individuals and teams.

This is the first programme to be taught at Heriot-Watt that has been developed alongside The Oriam Centre.

Entry Requirements

Admission requires a good honours degree at UK 2:2 level in Sports Science, Sports Management, Sports Psychology, Exercise Science and Health, or related discipline. Applicants are also required to have numeracy, familiarity with statistics, and basic skills in some programming language.

Start Date



Postgraduate Master's



Study Method

Full time

Course Length

12 months


School of Mathematical and Computer Sciences


Computer Science

SCQF Level



Career Sectors


Chemistry and Materials Science

Food Science and Technology

Mathematics and Statistics


Science General