Course summary
Unlock the future of sport with the MSc Sport Data Science and Artificial Intelligence. Created and delivered by experts across Sport and Computer Science, you’ll build the skills to thrive in the fast-moving world of applied analytics in sport. Stay at the forefront of sport analytics as you work with modern hardware, software, and authentic datasets linking directly to athlete monitoring, match analysis, and sports business decision-making. Become part of our unique learning environment as you learn predictive modelling, decision support, and best-practice visualisation for professional and commercial settings. Course highlights Become part of a world-leading research community at the School of Sport, Exercise, and Rehabilitation Sciences—one of the longest-established institutions in Europe and the largest facility of its kind in the UK—where you’ll be immersed in cutting-edge research and innovation. Our state-of-the-art laboratories support advanced exercise testing and sample analysis, providing the perfect environment for hands-on learning. You’ll be taught by specialists from Sport and Exercise Sciences and Computer Science, and gain insights from external experts in analytics, performance, and business, including football clubs, governing bodies, and commercial organisations. Whether you’re already working with data in sport or aiming to enter this growing industry, our Sport Data Science and AI MSc is designed to advance your career and fuel your passion for applying analytics and artificial intelligence in sport.
- Study at the UK's largest custom built Sport, Exercise and Rehabilitation Sciences facility
- Access dedicated state-of-the-art research laboratories
- Be part of a world-leading research community
Assessment method
A combination of coursework assessments, research papers, reports, reflective commentaries and oral examinations.
Entry requirements
Applicants must normally have achieved a UK Upper Second-Class Honours degree (2:1) or international equivalent in one of the following disciplines: - Sport and Exercise Science - (Sport) Business and Marketing - Science, Technology, Engineering and Mathematics. If the above requirements are not met, significant experience in sport analytics, data science, or high-performance environments may be considered on a case-by-case basis, provided that you can demonstrate proficiency in research methods, quantitative reasoning, or programming.
Fees and funding
Tuition fees
No fee information has been provided for this course
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
For more detailed information on available funding and fees for postgraduate courses please visit: https://www.birmingham.ac.uk/study/postgraduate/taught/fees-funding
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT