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Sport Analytics at University of East London - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

With elite sports embracing technology and investing in the pursuit of marginal gains, professional clubs are increasingly looking to sport analytics to assist them in their day-to-day activities. The ability to analyse data, identify patterns, and make data-driven decisions, will provide a competitive advantage for sports clubs, businesses, and athletes. To meet the growing demands of data in the sports industry, UEL's own and Scotland FA's Football Scientist Dr Alireza Monajati developed this MSc in Sport Analytics. During the programme you will learn how statistical and visual analytics are informing stakeholders to make data-driven decisions in sport. You will utilise industry-standard visualization software such as Tableau and PowerBI, and have the opportunity to learn fundamental skills with programming languages such as Python, whilst being fully supported all the way.


Entry requirements

Bachelor's degree with minimum Upper Second Class (2:1) or equivalent in a sport, mathematics or computer science related subject. A Second Class (2:2) Bachelor's degree in a related subject may be considered by course leader. Applicants with exceptional and extensive work experience in sport and/or data analytics may also be considered.


Fees and funding

Tuition fees

England £10800 Year 1
Northern Ireland £10800 Year 1
Scotland £10800 Year 1
Wales £10800 Year 1
EU £16740 Year 1
International £16740 Year 1

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

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sport Analytics at University of East London - UCAS