Match Analysis, Data Analytics and Artificial Intelligence in Sport

The course aims to:

1) provide students with scientific, theoretical, and technical-practical skills concerning the relevance and validity of methods, procedures, and data analysis for monitoring training and competition, as well as the evaluation of the various components of sports performance, including through the use of video tools;

2) train professionals capable of collecting, processing, and interpreting sports data to support the decision-making processes of coaching and management staff. The course will explore the evolution of Video and Match Analysis, from notational analysis to complex models based on large databases (Big Data). Furthermore, it will provide an in-depth look at video analysis applications aimed at coaching, scouting, and talent development, while providing the foundations for the use of and interaction with artificial intelligence agents.

By the end of the course, students will have acquired data collection, analysis, and management skills, the ability to use basic video editing tools, and the capability to use artificial intelligence models for creating reports and dashboards. Furthermore, they will have developed competencies aimed at organizing and managing evaluation aspects in both educational contexts and those related to sports performance.