Overview
How can sports organisations use various types of data, from sport performance to digital media and ticketing to make better business decisions? How can new technologies and data analysis tools help teams, leagues and brands connect with fans, improve performance and gain a competitive edge?
On this master’s, you’ll explore how data and intelligent systems are reshaping the sport industry. You’ll gain hands-on experience in analytics, coding and Machine Learning, while developing the critical understanding needed to navigate the opportunities and challenges of a fast-evolving landscape. If you want to play your part in data-driven decision-making and technological innovation across the business of sport, this is the programme for you.
Sharpen your analytical and digital skills using real-world data
This course is highly practical and collaborative. You’ll work with datasets from major sport organisation such as the English Premier League (EPL), the National Football League (NFL), and Indian Premier League (IPL), applying analytical methods and intelligent technologies to real-world problems in sport.
You’ll learn to use software programmes like Python, R, and Microsoft Power BI, apply advanced statistical techniques, and work with various Machine Learning models and other essential tools while studying topics such as predictive analytics, visual storytelling, data strategy and applied algorithmic design. You’ll also develop the skills to communicate data-driven insights to stakeholders across sport, business and media.
Based in the heart of London’s dynamic sport and tech community, you’ll be ideally placed to connect with industry leaders and explore opportunities for your collaborative project and dissertation.
A headstart to your sport analytics career
This programme is designed for those who are passionate about data, technology and sport. Whether you come from a technical, analytical or sport background, you’ll graduate ready to take on roles that combine digital innovation and strategic decision-making across the global sport industry.
You’ll build a robust mix of technical, analytical and communication skills that will make you a strong candidate for roles in data analytics, sport technology, business development, management or consultancy.
Why you should study this degree:
- Develop the skills to extract insights from complex sport data and digital media.
- Gain a strong grounding in coding, algorithms and digital application development.
- Understand how intelligent technologies are driving innovation and change in sport.
- Explore the ethical, policy and regulatory dimensions of data and digital transformation.
- Work on live projects with leading industry partners.
- Build critical communication and presentation skills to convey data-driven insights to stakeholders of all levels.
- Study at the heart of the UK’s sport and tech scene at our vibrant London campus in the former Olympic Park.
- Full immersion in each topic area through block teaching.
Get more details
Visit programme websiteProgramme Structure
Course Includes:
- Grand Challenges
- Principles of Artificial Intelligence and Data Analytics
- Machine Learning for Sport
- Sport Integrity
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Digital Media Data Analytics View 169 other Masters in Digital Media in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
A 2:1 honours degree (with a minimum of 60% in final year), or equivalent international qualification.
- Open to all discipline backgrounds, no computing background required.
- Applicants with a 2:2 honours degree will be considered on a case-by-case basis.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Additional Details
For the most up to date course fees, visit the Sport Analytics and Artificial Intelligence course page.
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Please visit our website for more information on fees, funding and scholarship opportunities.
Check for any work restrictions
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Scholarships Information
Below you will find Master's scholarship opportunities for Sport Analytics and Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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