Master in Sport Analysis and Analytics
The Master in Sports Analysis is your gateway to becoming a top match or data analyst in the sports industry. With a strong emphasis on practical learning and a comprehensive approach to performance analysis, this program will equip you with the skills to turn data into strategic insights. You will master AI-driven tools while developing a deep understanding of game dynamics and talent identification across various sports.
During this 9-month master’s program, you will explore the fundamentals of working with big data and learn how to extract the most valuable insights from data. We will guide you through data collection processes, the different ways to analyze them, and the key parameters that can enhance team and player performance. Alongside data analysis and artificial intelligence, you will also gain a deeper understanding of game dynamics and the essential steps to identifying top talent.
Título propio emitido por Universidad Europea de Madrid
Clases en Inglés | Villaviciosa de Odón | Inicio: octubre 2026 | Facultad de Medicina, Salud y Deportes | Escuela Universitaria Real Madrid Universidad Europea |
Live the Real Madrid Experience
We present a brief summary of the most relevant milestones of the 2023-24 academic year, a year full of learning and unforgettable experiences.
Facilities
Santiago Bernabéu Stadium
Santiago Bernabeu Stadium, a Football History Monument
Real Madrid City
The best Training Ground in the world
Sports Centre
The best and most complete sports facilities and with an experienced team of qualified professionals.
Human Performance Research Lab (HPRLab)
A state-of-the-art space for learning and research.
Join the AI in sports industry programme
AISports: artificial intelligence in sports
Be part of the AISports: Artificial Intelligence in Sports program. Train to lead the industry through innovation and artificial intelligence. Leadership is embedded in the DNA of our school, driven by a relentless pursuit of success and a passion for constant improvement.
Get ready to apply Artificial Intelligence in the sports industry. You’ll have the opportunity to learn from international experts in AI applied to sports through live online classes, access exclusive content, and develop your Final Master’s Project (TFM) centered on AI.
Study Plan
Module 1 - Unlocking the Power of Sports Data: Fundamentals (6 credits)
This module introduces the fundamental concepts of sports data. Students will learn how data is collected, managed, and applied in various sports. The importance of data analysis in sports decision-making will also be introduced.
Module 2 - Managing Sports Data: Databases and Infrastructure (6 credits)
This module teaches students how to build and manage sports-specific databases using tools like SQL and NoSQL. Students will learn how to organize large volumes of data, ensuring proper storage and efficient access for analysis.
Module 3 - Coding the Game: Programming for Sports Analytics (18 credits)
In this module, students will learn how to use programming languages such as Python and R to conduct sports data analysis. The module will cover automating analysis tasks and creating predictive models. Additionally, AI tools like ChatGPT will be incorporated to assist in programming and solving complex problems more efficiently.
Module 4 - From Numbers to Narratives: Data Visualization (6 credits)
This module focuses on effectively visualizing sports data to communicate analysis and results to different audiences. Students will learn how to use tools like Tableau and Power BI to create clear and comprehensible graphical representations of sports data.
Module 5 - Advanced Machine Learning and AI in Sports (6 credits)
This module addresses advanced machine learning and artificial intelligence techniques applied to sports. Students will learn how to use predictive algorithms to improve player and team performance, optimizing tactics and strategies based on both historical and real-time data.
Module 6 - Football Analytics: Metrics and Performance (6 credits)
This module is dedicated to the specific analysis of football performance. Key metrics will be explored to evaluate both individual player performance and team performance. Scouting and workload management will also be included.
Module 7 - Data Analytics in Basketball, Handball and other sports (6 credits)
In this module, students will apply the principles of sports analytics to other popular European sports, such as basketball and handball. The module will highlight similarities and differences in the use of data and analytics between these sports, teaching students how to adapt their skills to various sporting contexts.
Module 8 - Final Project (6 credits)
Number of places for incoming students
20.
Graduate profile
This master's qualifies you to manage and lead professional sports analysis and data management projects. You will be able to work in roles such as:
- Sport Scientist, carrying out scientific analyses to optimise sports performance.
- Sport Data Scientist, managing large volumes of data to extract key information for decision-making.
- Data Scout, using data analysis to identify patterns and trends to discover talent.
- Scout, specialising in scouting for players and analysing the opposition for competitive teams.
- Match analyst, breaking down tactics, strategies and statistics to support coaching staff and improve team performance.
Admissions
Start your future at Universidad Europea
You can become a student at Universidad Europea in three easy steps.
1
Admission exams
Start your admission process by calling +34 918257527 or request information and our advisors will contact you.
2
Place reservation
Once you have been admitted, secure your place by paying the reservation fee.
3
Enrollment
Submit the required documents to formalise your enrollment.
Scholarships and financial aid
We want to help you. If you want to study at Universidad Europea, you will have at your disposal a wide selection of own and official scholarships.
Credit recognition and transfers
You don’t have to stick with something you don’t like. That’s why we’ve designed specific plans for credit recognition and transfers.
Request your online credit recognition review, transfer your academic file and start studying at Universidad Europea.
Requirementes for admissions
For the access to the Master's Degree/University Specialist/University Expert it is necessary to meet one of the following requirements:
- To be in possession of a University Degree.
- If applicable, accredit professional experience of at least 6 months that is directly related to the field of the degree.
- If applicable, accredit professional internships of CFGS that are directly related to the scope of the degree.
Access profile
This Master aimed at professionals in the sports industry who want to build a career in the field of match and data analysis, such as:
- Graduates with a degree in physical activity and sports sciences
- Graduates with degrees such as engineering, mathematics, big data or other fields related to the area of knowledge.
- Coaches and members of coaching teams who want to understand match play better and to develop the skills needed to enable them to improve team and player performance.
- Former players who wish to transfer their skills and experience into the field of match analysis.
- Professionals working with new technologies with a passion for sport, who wish to use their knowledge to help develop this sector.
Price is not a problem
Check our special financing terms & conditions.
