MSc Sports Engineering with Artificial Intelligence

1 Year On Campus Masters Program

Sheffield Hallam University

Program Overview

The MSc in Sports Engineering with Artificial Intelligence trains students to apply engineering, biomechanics and AI-driven data analysis to improve sports equipment, athlete performance and human–equipment interaction. It suits graduates from engineering, physics, mathematics or related technical fields who want careers in sports technology, performance analysis or equipment design.

Curriculum Structure

What students learn (Full-time, 1 year)

Students begin with core modules such as Applied Measurement in Sports Engineering and Modelling Mechanics of Sports Engineering, where they learn biomechanics, measurement techniques, mechanical modelling, and how to analyse performance data. They then explore Human Factors in Sports Engineering and Design and Innovation, gaining skills in ergonomics, user-centred design, and evaluating how athletes interact with equipment to improve usability, safety and performance.
The course concludes with an Applied Project in Sport and Physical Activity, where students integrate engineering, data analysis and AI methods to solve a real sports-engineering problem, producing a professional project or industry-relevant prototype.

Focus areas: “Biomechanics; mechanical modelling; human factors; sports-equipment innovation; AI-driven performance analysis; applied sports-engineering project”

Learning outcomes: “Measure and analyse biomechanical data; model equipment performance; apply ergonomics and design thinking; use AI and data analysis to evaluate sports performance; complete an applied engineering project suitable for industry or research.”

Professional alignment (accreditation): The programme aligns with industry needs in sports-technology R&D, performance analysis, biomechanics consultancy and equipment design, preparing graduates for roles such as sports-equipment engineer, performance analyst or research engineer.

Reputation (employability rankings): Taught within a well-regarded sports-engineering research environment, the programme has strong links to major sports brands and organisations, supporting strong graduate employability in the sports-technology sector.

Experiential Learning (Research, Projects, Internships etc.)

This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:

Specialist Computing Laboratories: Access to Sheffield Hallam's computing labs with high-specification workstations for software development, systems analysis, and project work.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems and development environments.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.
Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.

Progression & Future Opportunities

Graduates of Sheffield Hallam University's MSc Sports Engineering with Artificial Intelligence excel in sports tech R&D, leveraging biomechanical analysis and AI for athlete-equipment optimization at firms like Adidas, Nike, and FIFA. Industry-linked projects and placements boost employability, with alumni in roles enhancing elite performance worldwide. High student satisfaction (100%) underscores strong career preparation in analysis and innovation.

Typical job roles: Sports Engineer, Performance Analyst, Equipment Designer, R&D Specialist.

Careers service: industry placements/internships, project partnerships with Adidas/FIFA/English Institute of Sport
Employment stats: 97% in work/study at 15 months; competitive sports tech salaries
Partnerships: Adidas, Ping, Mitre, FIFA, International Tennis Federation for real projects
Accreditation value: Sports Engineering Research Group credentials for global sports innovation
Outcomes: roles at Nike/Catapult/Hawk-Eye, concussion research like New Zealand Rugby

Further Academic Progression: Pursue PhDs in sports engineering/AI at Sheffield Hallam, extending industry project into advanced biomechanics or performance tech.

Additional Information & Requirements

Applicants should normally have a minimum of a second class honours degree (2.2), ideally this should include a 'technical' subject such as engineering, computer science, maths or science related (such as physics, sport & exercise science).

USA- A first degree (2.7) or professional qualification recognised as being equivalent to degree standard

India- A three or four year Bachelor's degree with a minimum score of 55% to 60% or higher (from a recognised university).

IELTS- Overall: 6.0 Listening: 5.5 Speaking: 5.5 Reading: 5.5 Writing: 5.5

TOEFL iBT (including TOEFL iBT Special Home Edition): Overall: 79 Listening: 17 Speaking: 20 Reading: 18 Writing: 17

China- Four year Bachelor Degree from a recognised university with minimum 60%

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