Sports Science: FEES ONLY Swansea City Football Club MSc by Research Scholarship at Swansea

  • Master
  • UK tuition fees only
  • 10 June 2021
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Sports Science: FEES ONLY Swansea City Football Club MSc by Research Scholarship: Characterisation and prediction of success in Championship Football

This scholarship is funded by Swansea City Football Club.

Start date: July 2021

Subject areas: Engineering, sport science, data sciences, physics, mathematics

Project supervisors:

  • Dr Rowan Brown
  • Dr Mark Waldron
  • Professor Liam Kilduff
  • Dr Neil Bezodis
  • Mr Steve Rands (Swansea City AFC)

Project description:

The aim of this MSc by research project is to investigate whether player performance indicators (PIs) for football players who are playing in different domestic and European leagues are effective at predicting player success when transferred to, and playing in, a different league (EFL Championship or Premier League).

Initially, the candidate will review player match performance indicators and apply these to legacy data in order to parameterise and establish what characterises a successful player, such as, playing time, contribution to winning matches and influence on team performance (success criteria).

The candidate will then proceed to use the success criteria, to investigate which domestic and European leagues are the most indicative of player performance when transferred to the EFL Championship/Premier League. This will then be used to determine and predict which domestic and European league(s) provides the most successful transfers.

It would be essential that the candidate can apply data analysis to non-trivial tasks, as well as exposure to or knowledge of statistical analysis, exploratory analysis, data modelling or machine learning.

The candidate will be based at Swansea City AFC Training Ground and work alongside First Team Staff for the duration of the project.

Available resources/facilities: A-STEM labs and SCAFC training ground facilities. The data and software needed is already provided (Historical STATSBomb, OPTA & Wyscout Data Sets).

Eligibility

Candidates should hold a minimum of an upper second class (2:1) honours degree (or its equivalent) in STEM (Science, Technology, Engineering, Mathematics) including Sports Science, Economics.

Programming skills (MATLAB, PYTHON, R, Tableau, PowerBI, Alteryx) are desirable.

We would normally expect the academic and English Language requirements (IELTS 6.5 overall with 5.5+ in each component) to be met by point of application. For details on the University’s English Language entry requirements, please visit – http://www.swansea.ac.uk/admissions/english-language-requirements/

Due to funding restrictions, this scholarship is open to UK/EU candidates only.

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Benefits

This scholarship covers the full cost of UK tuition fees ONLY. Meals onsite will be covered.

Application

Please visit our website for more information.

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