The program is designed for students aiming to work with analytics, data science and modern technologies that shape the future of sport. The curriculum focuses on understanding how data influences individual player development, match performance, coaching decisions and long-term strategy within football organisations. It forms the foundation for some of the most in-demand roles in today’s football industry.
Students learn to work with different categories of football data: physical metrics, technical and tactical indicators, movement models, positional play, xG analytics and performance evaluation. A major emphasis is placed on mastering tools such as Wyscout, InStat, Hudl, GPS tracking systems and AI-based analytical platforms. The program includes practical match analysis, case studies and the creation of professional analytical reports.
The course introduces students to algorithms used in evaluating transfer value, risk analysis, predicting player form and identifying upcoming talents for scouting departments. They also learn essential skills in programming (Python/R), data modelling, visualisation and communicating findings to coaching or management staff. This combination of theoretical foundations and practical application offers a strong competitive advantage in the job market.
Upon completing the program, students are prepared to work as club analysts, coaching assistants, transfer department specialists, scouting analysts or consultants in football analytics. They acquire tools and methodologies used by top European clubs and are capable of influencing decisions based on objective data rather than intuition.