Data Analytics in Sport

Designed for sports professionals and those seeking to build analytical skills within the industry, Data Analytics in Sport provides a broad grounding in how data is transforming the sports sector. Topics span fan engagement analytics, performance analysis, the role of IoT, machine learning and AI for predicting match results and injuries, and blockchain applications in sport. The course aims to equip participants with the ability to make objective, data-driven decisions in managing athletes, fans, and organisations.

Delivered entirely online by the Johan Cruyff Institute, the course runs over five weeks and carries three ECTS credits, requiring roughly 10–12 hours of study per week. The methodology combines a two-week theoretical phase with a three-week practical phase, supported by tutor-led assignments, live webinars, and a resource-rich virtual campus. Participants who complete the course receive a blockchain-verified certificate from the Johan Cruyff Institute. Instruction is available in either English or Spanish.