Performance Analysis in the Cardiff School of Sport & Health Sciences is world leading in terms of academic and applied perspectives. The School has offered post-graduate study in Performance Analysis since the first ever Masters in Performance Analysis was developed in 2003. The Cardiff School of Sport & Health Sciences has a unique Centre of Performance Analysis boasting high-spec teaching and practical based laboratories with a multitude of world-leading software and resources available. The School has developed two new pathways designed to reflect recent developments within sport performance analysis.
The programme combines academic, practical and research based skills to allow you to develop in your chosen area. Students can elect to specialise in specific named pathways in either Applied or Analytics. The Applied pathway prepares skilled practitioners with sound scientific principles to base their work and develop their understanding of the theory behind the analysis. The Analytics pathway combines data science skills and knowledge of sport with performance analysis theory.
The Analytics pathway of the Sport Performance Analysis programme is delivered through asynchronous online materials covering practical analytics and data processing skills, demonstrations of machine learning techniques in various packages with associated exercises and data sets. The asynchronous material also includes video lectures theoretical background material on analytics, big data, data mining, artificial intelligence in sport and research topics in sports performance analysis.
Timetabled delivery for each module equates to approximately 2 hours a week with sessions being conducted on Microsoft Teams allowing students to engage with these synchronous contact sessions from outside the university. These sessions are a combination of tutorials and seminars. There are also individual student tutorials scheduled within each module to support students preparing their courseworks. There is also additional private study that students engage in to develop knowledge, intellectual and practical ability in sports analytics. This amounts to 12 to 15 hours per week including engagement with asynchronous material and reading research papers.
The Supervised Placement module involves students doing data science analyses for professional sports organisations and clubs. Currently these placements are “virtual†rather than students being on-site with partner organisations. This is to comply with Covid-related restrictions.
All modules are supported by the University's online learning platform, where supplementary learning resources and information will be available. All students are supported with access to a personal tutor, who is normally the Programme Director. Synchronous interactive seminars and tutorial sessions are scheduled for Mondays and Wednesdays.