The Postgraduate Diploma in Sports Analytics and Technology represents a pioneering program in Ireland's growing SportsTech sector. The programme addresses key challenges facing the sports industry through three core pillars: digital transformation in the business of sport, sports data for performance & innovation, and application of sports technology in sports businesses and organisations.
This is a Technology Ireland Digital Skillnet programme, delivered in partnership with the Technological University Dublin Enterprise Academy and SportsTech Ireland, and positions students within a dynamic SportsTech Talent Development Community. Students benefit from carefully curated workshops and guest lectures from world-leading thinkers in the field.
The course is designed for:
Sports technology professionals seeking to enhance their analytical and technical capabilities
Sports industry professionals looking to leverage data and technology
Technology professionals interested in transitioning to the sports sector
Organizations seeking to build data-driven decision-making capabilities in sports
Key Features
Industry-led curriculum addressing real-world SportsTech challenges
Access to a vibrant SportsTech Network connecting industry leaders
Hands-on experience with cutting-edge sports analytics tools and technologies
Focus on both technical expertise and professional development
Opportunity to contribute to Ireland's growing SportsTech ecosystem
With Ireland's SportsTech sector experiencing significant growth, including 80+ indigenous companies and major FDI players like Peloton, Fitbit, and StatsPerform - graduates are well-positioned for careers in this dynamic field. The programme supports Ireland's vision as a destination for SportsTech innovation and development.
| Course Location | Dublin |
| Location Postcode | Dublin 24 |
| Course Type | Blended Learning - Mix of Classroom & Online |
| Awarding Body | TU Dublin |
| Course Duration | 1 year |
| Entry Requirements | The minimum entry requirement for standard entrants is a Level 8 Honours Degree (minimum 2:2) in Computing, Science, Engineering, Business with IT, or equivalent qualification. Evidence of prior Microsoft Excel experience required. Third Class Honours degrees may be considered with appropriate work experience and industrial certification. If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a IELTS (Academic Version) score of 6.5 or equivalent for non-native English speakers. |
| Course Code | TU345 |
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