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Sport & Leisure
Duration
2 years
Level
Postgraduate
Outlook
Growing
This MSc develops your expertise in collecting, interpreting and presenting performance data to help coaches and athletes gain a competitive edge. You study video coding methodologies, GPS and accelerometer data analysis, statistical modelling and notational analysis across team and individual sports. Practical work is central: you use industry-standard software such as Hudl, Catapult and Dartfish, and placements typically connect you with inter-county GAA squads, provincial rugby academies or Sport Ireland Institute programmes. A typical week blends research methods lectures, data-processing lab sessions and applied project work with real sporting organisations. Some programmes include opportunities for international placements or Erasmus exchanges with European sports science institutions.
Entry typically requires an Honours Bachelor degree (NFQ Level 8) in sports science, exercise physiology, physical education or a related discipline, with a minimum 2.2 classification, though a 2.1 is often preferred for competitive programmes at UL and DCU. Relevant undergraduate modules in statistics, research methods or sports coaching strengthen your application considerably. Applicants from non-cognate backgrounds, such as data science or physical education, may be considered if they can demonstrate relevant professional experience in a sporting environment. Mature applicants with significant industry experience as performance analysts or S&C coaches are welcomed under most institutions' mature-entry pathways. International applicants must meet English-language requirements, typically IELTS 6.5 or equivalent.
Demand for qualified performance analysts in Ireland has grown steadily as GAA, rugby and soccer organisations professionalise their high-performance structures. Graduate salaries at entry level typically range from approximately €28,000 to €38,000 per year, with experienced analysts in professional setups earning €45,000–€60,000 or more. The field remains competitive due to relatively limited roles at elite level, so building a placement portfolio during your studies is important. International opportunities exist in UK professional sport, European football and Olympic programme environments for those willing to relocate.
AI and machine learning tools are increasingly used to automate video tagging, detect patterns in GPS datasets and generate predictive performance models, tasks that once required hours of manual coding. As a graduate, you will be expected to work alongside these tools rather than be replaced by them, using your domain knowledge to contextualise and quality-check automated outputs. Skills in programming languages such as Python or R are becoming a differentiator in the job market for analysts. Institutions like DCU and UL are already embedding AI literacy into their postgraduate curricula to prepare you for this shift.
1 CAO course lead to this qualification. Points shown are last year's Round 1 score.
Providers and indicative points are curated with AI support. Always double-check with the institution itself.
How to apply
MSc programmes in Sports Performance Analysis are postgraduate qualifications applied for directly through each institution's postgraduate admissions portal; a relevant Level 8 honours degree (typically in sport science, physical education, or a related discipline) with a minimum 2.2 grade is usually required. Some programmes may also require relevant industry or coaching experience and an interview stage.
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