Swansea University

What you'll study

This joint honours degree integrates core mathematics with applied sports science. In early stages you build a solid mathematical foundation in calculus, linear algebra, probability and statistics, and computational methods, alongside introductory modules in human physiology, anatomy and principles of sport and exercise. Practical laboratory sessions and programming workshops develop experimental and analytical skills.

In later years you progress to advanced topics such as differential equations, mathematical modelling, numerical analysis, optimisation and data analysis, paired with specialised sports science options such as biomechanics, exercise physiology, sports nutrition, motor control and performance analysis. The course emphasises quantitative approaches to sports problems, for example using statistics and machine learning for movement analysis, modelling fatigue and recovery, or designing training load models.

Teaching typically combines lectures, small-group tutorials, laboratory practicals, computer-based coursework and project work. You will complete individual or group projects that bring together mathematical methods and sports science applications; there are opportunities to undertake work placements or applied research projects with local clubs, the university’s sports facilities or partner organisations.

• Typical mathematics modules: Calculus and analysis, Linear algebra, Probability and statistics, Differential equations, Numerical methods, Mathematical modelling, Applied statistics and data analysis.
• Typical sports science modules: Human anatomy and physiology, Exercise physiology, Biomechanics, Motor control, Sports performance analysis, Sports nutrition and health, Laboratory methods and testing.
• Skills developed: Mathematical reasoning, statistical inference, computational modelling, experimental design, data visualisation, laboratory techniques and scientific communication.

Entry requirements

Successful applicants normally have a strong quantitative background. Typical offers require A-levels (or equivalent) including Mathematics at a good grade; a second related A-level such as Biology, Physics, Chemistry or Physical Education is desirable but not always essential. Applicants with BTEC or other vocational qualifications in relevant subjects are considered where units include substantial mathematics or science content.

For international applicants, acceptable qualifications include recognised international school leaver certificates and qualifications demonstrating competence in mathematics. All applicants should demonstrate competence in written and spoken English; international students may be asked to meet an English language requirement through a recognised test.

Applicants with non-standard backgrounds or relevant work experience are encouraged to contact the admissions team to discuss their suitability and possible alternative entry routes. GCSE (or equivalent) passes in English and Mathematics are usually expected.

Career prospects

Graduates combine mathematical and sports science expertise, opening diverse career routes. Common destinations include roles in sports science and performance analysis for clubs and governing bodies, strength and conditioning support, biomechanics and movement analysis, and roles in health, fitness and rehabilitation settings. The quantitative emphasis also prepares graduates for data-focused careers such as sports data analyst, performance analyst, and roles in analytics, modelling or research within sport and exercise companies.

Further study routes include postgraduate degrees in sports science, biomechanics, applied mathematics, statistics or data science, and professional training such as PGCE for those seeking to move into teaching. The mathematical component also supports careers in finance, actuarial work, software and technology companies where quantitative skills are valued, often following additional professional qualifications or conversion courses.

Why study at Swansea University

Swansea University offers an attractive coastal campus with dedicated sports facilities and laboratories that support practical teaching and applied research. The university has active links with local sports clubs and regional health and exercise centres, providing opportunities for placements and collaborative projects. Teaching brings together staff from mathematics and sports science, enabling interdisciplinary supervision and a curriculum that reflects both theoretical rigour and applied practice.

Students benefit from small-group teaching, access to computing and laboratory resources, and careers support that helps translate combined mathematical and sports science skills into employment or postgraduate study. The programme is designed to equip graduates with the analytical, experimental and communication skills sought by employers across sport, health and data-driven sectors.