Máster Big Data Deportivo y Scouting en Fútbol

Program Overview

The Máster Big Data Deportivo y Scouting en Fútbol is a 9-month program designed to equip students with the skills and knowledge necessary to work in the football industry as scouts or analysts. It covers data collection methods, analysis techniques, and key parameters for improving team and player performance. The program also delves into game comprehension and the process of identifying top players.

Program Outline

Degree Overview:

The Máster Big Data Deportivo y Scouting en Fútbol is a 9-month program designed to equip students with the skills and knowledge necessary to work in the football industry as scouts or analysts. It covers data collection methods, analysis techniques, and key parameters for improving team and player performance.

• Gain expertise in using data and technology to analyze playing styles and models.
• Develop the ability to adapt team performance to achieve set objectives.
• Acquire knowledge from leading football industry professionals.
• Understand the application of artificial intelligence in sports.
• Introduction to team sports
• Decision-making theory
• Introduction to Big Data
• Introduction to statistics applied to football
• Data, sources, APIs, and ETL
• Soccer Analytics
• StatsPerform
• Wyscout
• Mediacoach
• Skill Corner
• Second Spectrum
• Footovision
• Metrica Sports
• BeSoccerPro
• BePro11
• FlyFut
• Tracab
• CoachPaint
• Microsoft Power BI
• Tableau
• R Language
• MySQL
• EPTS Tracking and Eventing
• Python Language

Module III - Game Analysis in Football:

• Analysis of the training process
• Game analysis based on data
• Development of reports on own team and opponents
• Development of algorithms and KPIs for own and opponent playing styles
• Audiovisual presentations to teams and coaching staff
• Use of Computer Vision & AI for game analysis
• Use of AI for game analysis
• Strategic proposals in the training process based on data
• Creation of dashboards for game analysis
• GPS and performance variables
• Analysis of the player's conditional abilities
• Use of data in injury prevention and recovery
• Most common instrumental biomechanical techniques
• Development of a performance department based on data
• Proposals for game optimization based on data
• Creation of dashboards for performance control

Module V - Scouting in Football:

• Creating and developing a scouting department
• Individual player analysis in competition
• Building a player database
• Development of own algorithms for player tracking and recruitment
• Application of KPIs for player scouting
• Development of own tools for player scouting
• Decision-making in the player signing process
• Decision-making for team composition and development
• Creation of individual performance reports
• Creation of dashboards for player scouting

Module VI - Artificial Intelligence and Big Data:

• Introduction to artificial intelligence
• Data Mining, Machine Learning, and Deep Learning
• Technologies applied to artificial intelligence
• Advanced analytics techniques

Module VII - TFM - Master's Final Project:

• Students will complete a final project that demonstrates their understanding of the program's concepts and their ability to apply them to real-world scenarios.

Module VIII: Practices and Visits:

Teaching:

• The program is taught by a faculty of professionals who are currently active in football projects.
• The program emphasizes practical learning and the development of skills that are directly applicable to the football industry.
• The program includes visits to companies and organizations that utilize big data in football, providing students with real-world experience.

Careers:

• The program prepares students for careers in the football industry as scouts, analysts, performance coaches, and data scientists.
• Graduates will be equipped to work in professional football clubs, scouting agencies, and sports technology companies.

Other:

• The program is offered by the Escuela Universitaria Real Madrid – Universidad Europea, a prestigious institution with a strong reputation in sports education.
• The program is taught in Spanish.
• The program is offered in both presencial (in-person) and online formats.
• The program is 60 ECTS credits.
• The program starts on October 21, 2024.
• The program is a título propio (own title) of the Universidad Europea de Madrid.
• The program is delivered by the Escuela Universitaria Real Madrid.
• The program is designed to provide students with a multicultural learning environment, with a significant number of international students and faculty.
• The program is taught using a variety of teaching methods, including lectures, workshops, case studies, and practical exercises.
• The program is designed to provide students with a comprehensive understanding of the use of big data in football.
• The program is designed to help students develop the skills and knowledge they need to succeed in the rapidly evolving football industry.