Master’s Degree in
Sports Science and Data Intelligence
in High-Performance
First step? We will guide you · Master’s degree 100% focused on learning and employability · Reserve your priority place
Technology to optimize performance and prevent injuries
The Master’s Degree in Sports Science and Data Intelligence in High-Performance integrates Big Data and AI to enhance physical performance and reduce injuries during training and competition.
It covers practical cases such as:
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Management and analysis of sports databases.
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Quantification of physical loads using new technologies.
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Performance evaluation and return-to-play criteria.
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Creation of reports with Power BI and Tableau.
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Post-session analysis, opponent analysis, and goalkeeper analysis.
IN COLLABORATION WITH:
WHO IS IT FOR
The Master’s Degree in Sports Science and Data Intelligence in High-Performance is aimed at sports professionals such as coaches, analysts, strength and conditioning coaches, and physiotherapists who wish to integrate Big Data into their work to optimize physical performance and injury prevention.
It is also ideal for recent graduates in fields related to sports, technology, or data analytics who seek a distinctive specialization focused on the professional sports industry.
This program offers a unique opportunity to develop key skills in data management applied to physical preparation, strategic decision-making, and the use of advanced technologies. It is the perfect training for both those already working in the field and those looking to start a career in a constantly evolving market.
IINS Recognition · March 2026
The Institute for Spanish Sports Quality grants this extraordinary distinction to Sports Data Campus, in recognition of its leadership, impact, and outstanding contribution to the strategic development of the sports ecosystem, and certifies that the institution meets the requirements and standards established for the sports quality seal.
Bernardo Silva, Bruno Fernandes and Austin MacPhee receive their Honorary Professorships of our Master's Degree in Set Pieces in Football from Sports Data Campus and UCAM in Lisbon.
Career Opportunities
Graduates of the Master’s Degree in Sports Science and Data Intelligence in High-Performance are prepared to take on, among others, the following roles:
Sports Performance Analyst:
Specialist in collecting and analyzing athlete data to optimize physical performance.
Data-Driven Strength and Conditioning Coach:
Design training programs based on advanced data analysis to maximize results.
Sports Data Scientist:
Development of predictive and analytical models to help prevent injuries and improve performance.
Technology and Wearables Manager:
Implement and manage technologies such as sensors, GPS, and wearables in sports teams or gyms.
Big Data Consultant in Physical Performance:
Advise clubs, academies, or athletes on how to implement data-driven strategies.
Injury Prevention Specialist:
Use data to identify risk patterns and design personalized prevention strategies.
Researcher in Sports Science and Data:
Conduct advanced studies on the impact of technology and data on physical preparation.
Software Developer for Sports Data Analytics:
Create specialized tools and platforms for managing and analyzing data in physical preparation.
Why pursue our Master’s?
Enrolling in a Master’s Degree in Sports Science and Data Intelligence in High-Performance will allow you to train with industry experts, acquire advanced tools to manage and analyze data focused on physical performance, and stand out in a constantly evolving market that demands highly skilled professionals in the sports field.
A unique training program, with unique and exclusive content
We are the leading campus and the largest community on Big Data and sports in Spanish
We have already trained over 3.100 students from all major leagues and various sports
We collaborate with more than 100 clubs and professional teams, and with over 120 leading companies in their sector
We guarantee you a unique learning experience, supported at all times and always available for you
Post and find opportunities in our community full of professionals for networking
Our master’s programs are the only ones certified by UCAM and Sports Data Campus
Our instructors and masterclasses are world-class. You will have access to exclusive events with them
Don’t forget to ask about our international scholarship program and study grants
UPON COMPLETING THE MASTER’S PROGRAM
OFFICIAL DUAL CERTIFICATION
Upon completing the master’s program, you will receive a dual certification awarded by UCAM and Sports Data Campus.
Official UCAM Certification
At UCAM, we have more than 20 years of experience in academic education. Our university has been recognised by prestigious international rankings, placing it among the top 10 universities in Europe for teaching quality, according to the Times Higher Education (THE) ranking. We are among the Spanish universities with the lowest dropout rates and the highest employability levels among students. At UCAM, we are constantly evolving and at the forefront of technology and tools to deliver a leading learning experience at both national and international level.
Official SDC Certification
Sports Data Campus is the leading school for specialised training in Big Data, advanced analytics and Artificial Intelligence applied to sport. We were created to respond to an increasingly clear reality: professional sport can no longer be understood without data. We train the professionals who lead change in clubs, federations, agencies and companies across the industry, combining strategic vision, practical application and a methodology aligned with the labour market. Our programs are designed to turn data into decisions, performance and competitive advantage. At Sports Data Campus, you do not just learn theory: you develop the skills that today’s sports industry demands to analyse, interpret and transform information into real impact. Because the future of sport is built with talent, technology and applied knowledge.
FROM ENROLMENT
CERTIFIED DIPLOMAS INCLUDED WITH YOUR ENROLMENT, VALUED AT €4,000
You can obtain them from the moment you enrol until you complete the master’s program.
CERTIFIED DIPLOMA IN
Fundamentals of Football Analysis
CERTIFIED DIPLOMA IN
Fundamentals of Data Visualisation
CERTIFIED DIPLOMA IN
Sports Statistics with R
CERTIFIED DIPLOMA IN
Advanced Analytics with Python
CERTIFIED DIPLOMA IN
Generative AI Applied to Sport
CERTIFIED DIPLOMA IN
Soft Skills
DURING THE MASTER’S PROGRAM
COMPLEMENTARY DIPLOMAS
We partner with leading companies in the sports industry to offer you the following certifications, helping you build a more competitive profile.
PROFESSIONAL INDUSTRY CERTIFICATIONS
ACCESS TO THE INTERNATIONAL PROGRAM OF
SCHOLARSHIPS
BECAUSE COLLABORATION IS STRENGTH
PROUD OF OUR ECOSYSTEM OF PARTNERS, WHICH KEEPS GROWING EVERY DAY
Clubs, Federations, Confederations and Sports Entities
Companies and Industry
WHAT OUR STUDENTS SAY
We are extremely proud of every student who has trained at Sports Data Campus and is now part of this great family.
Thank you all for your effort and support! 🙂
Ioannis Kastritis
As part of my current studies in the MSc Data Analytics in Football program with Sports Data Campus, I recently completed an individual assignment focused on the build-up …
Amine meziant
I’m grateful to the instructors, classmates, and all the support received during this program Pablo Jiménez-Bravo Bonilla David R. Sáez Ávila.
François Villalta Parada
Master's Degree achieved! I wanted to let you know that I've finally completed my MSc in Data Analytics in football, thanks to Sports Data Campus and UCAM Universidad Católica San Antonio de Murcia.
Aris Fournier
I have just completed my first course at the Sports Data Campus, and I had the privilege to learn directly from Victor Orta, current Sporting Director of Real Valladolid Club de Fútbol
Imrane Talay
I had the chance to take part in the Sports Data Forum, organised by Sports Data Campus, Sevilla FC and UCAM at the Ramón Sánchez-Pizjuán Stadium. The event brought together professionals and students around key topics in sports analytics, innovation, and the future of the sports industry
Pau Garnatje Font
Also grateful to Miguel Ángel del Barrio Rodríguez and David R. Sáez Ávila for creating such a high-quality learning environment, and to all the professors and guest speakers, especially José Rodríguez Calvo and Cristóbal Fuentes Nieto, for sharing their time and knowledge.
Damián Alberto Rivitti
Esta experiencia me permitió ampliar la mirada y conectar con nuevas herramientas y métodos que pude aplicar en el Área de desarrollo del Club Atlético Independiente.
Riccardo Fratnik
I’m proud to share that I have completed my Master’s final project for the MSc in Data Analytics in Football.
My project, “Analysis of Goalkeeper Actions and Impact Forces Using Smartphone Motion Sensors,” focused on a position that is still underrepresented in football analytics: the goalkeeper.
Pablo Alzamora
De lo más revelador, fue este PCA de jugadores de campo, que reduce múltiples métricas en dos ejes para mostrar qué rol ocupa cada jugador según su perfil estadístico.
Mateusz Micuda
Proud to present my final project, which concludes my studies in the MSc in Data Analytics in Football at Sports Data Campus: “Dino Toppmöller’s own project — Tactical analysis of Eintracht Frankfurt in the 2024/25 season.”
Nikolaos Georgiadis
I would like to sincerely thank Sports Data Campus, Pablo Jiménez-Bravo Bonilla, PEDRO JIMÉNEZ, David R. Sáez Ávila and the rest of the staff for this unique opportunity that helped me watch both tournaments through a completely new lens, that of a football analyst.
François Villalta Parada
¡Máster completado! Quería comunicaros a todos por aquí que, finalmente, he terminado mi MSc en Data Analytics en Fútbol, impartido íntegramente en inglés.
What we offer you
THE PROGRAM
A TRAINING PROGRAM THAT WILL REVOLUTIONIZE THE WORLD OF PHYSICAL PREPARATION IN FOOTBALL. HERE IT IS:
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MODULE 1. INTRODUCTION TO BIG DATA (3 ECTS)
1. Introduction to Big Data.
2. Application of Big Data in sports.
3. Theoretical introduction to data processing.
4. Theoretical introduction to data storage.
5. Theoretical introduction to data analysis.
6. Theoretical introduction to data visualization.
MODULE 2. THE ROLE OF THE “SPORTS SCIENTIST” AND THE “HEAD OF PERFORMANCE” (6 ECTS)
2. The role of the Head of Performance within a club’s organizational structure.
3. Performance department models: structures and resources.
4. Technological tools and data flows in physical performance.
5. Key indicators: load, fatigue, recovery, and readiness.
6. Coordination between departments: analysis, coaching staff, and medical services.
7. Visualization and reporting: dashboards, presentations, and technical meetings.
8. Real cases: how performance departments operate in professional clubs.
9. Soft skills of the performance leader: communication, leadership, and change management.
10. Challenges and the future of the Sports Scientist in modern football.
MODULE 3. DATA-PROVIDING TECHNOLOGIES IN PHYSICAL PREPARATION (5 ECTS)
2. Introduction to load quantification using these technologies.
3. Metrics and indicators of physical performance.
4. Metrics and indicators for injury-related processes.
5. Understanding and using the data obtained.
6. Practical case: assessment of physical performance.
7. Practical case: injury rehabilitation.
8. Practical case: minimizing injury incidence.
MODULE 4. BASIC DATA PROCESSING: DATABASES IN EXCEL (3 ECTS)
2. Basic concepts of databases.
3. Data management: Power Query.
4. Advanced database concepts: Pivot Tables and Dashboards.
5. Charts and data visualization.
6. Use cases in football.
MODULE 5. ADVANCED DATA PROCESSING AND VISUALIZATION: ETL TOOLS, TABLEAU, POWER BI (6 ECTS)
2. Types of physical and conditional data.
3. ETL – Pentaho Data Integration.
4. Tableau.
5. Microsoft Power BI.
MODULE 6. ADVANCED ANALYTICS OF TECHNICAL-TACTICAL ASPECTS WITH TABLEAU (4 ECTS)
- Introduction to Tableau Public.
- Elements of Tableau Public.
- Main data providers and sources: MediaCoach, Wyscout, Scout7, and StatsBomb.
- Own analysis: enhancing the game model and team positioning within its competitive environment.
- Justification of own analysis from a micro perspective.
- Opponent analysis: from data to video.
- Goalkeeper analysis.
- Designing an operational strategy.
- Application to training.
MODULE 7. ADVANCED ANALYTICS IN STRENGTH TRAINING APPLIED TO FOOTBALL (3 ECTS)
1. Isoinertial strength assessment through execution velocity and data analysis.
2. Strength assessment with inertial devices through execution velocity and data analysis.
3. Monitoring strength training and fatigue control through execution velocity.
4. Isokinetic strength assessment and data analysis.
5. Strength assessment using hand dynamometers, strain gauges, or load cells and data analysis.
6. Assessment of jumping ability and isometric tests of the posterior chain using force platforms: data analysis.
7. Calculation of the strength–velocity profile through jumps and sprints.
8. Strength assessment: recording, data analysis, and injury prevention.
MODULE 8. ADVANCED ANALYTICS IN INJURY REHABILITATION (3 ECTS)
2. Intrinsic and extrinsic risk factors in different pathologies.
3. Injury mechanisms in different pathologies.
4. Pre- and post-injury assessments.
5. Progression criteria in the different phases of injury rehabilitation.
6. Load quantification using GPS devices during the rehabilitation process.
7. Practical examples of different injuries.
MODULE 9. “DATA-DRIVEN DECISION” IN PERFORMANCE OPTIMIZATION IN FOOTBALL (6 ECTS)
2. Metrics and performance indicators in football.
3. Process of load quantification.
4. “Worst-case scenario.”
5. Acute-to-chronic ratio.
6. Relationship between physical parameters and the game.
7. Performance evaluation and conditional development in youth football.
8. Post-session use case.
9. Microcycle use case.
10. Post-match use case.
MODULE 10. INTRODUCTION TO PYTHON AND DATA ANALYSIS FOR PHYSICAL PREPARATION (6 ECTS)
- Introduction to Python for Data Science
- Language fundamentals and development environments (Colab, Jupyter Notebook)
- First scripts: variables, basic structures, and functions
- Statistical Fundamentals Applied to Performance
- Types of variables and descriptive statistical measures
- Hypothesis testing applied to sports
- Effect size and relationships between variables
- Data Cycle in Sports Environments
- Phases of data analysis: from collection to presentation
- Practical application in real cases in sports and physical preparation
- Acquisition of Real Data
- Reading sports files (CSV, Excel)
- Basic use of APIs and other automated data sources
- Data Preparation and Cleaning
- Detection and handling of outliers and missing values
- Common transformations: normalization, encoding, scaling
- Automation of Analysis Processes
- Creation of complete workflows: data input – analysis – output
- Applied example: calculation of a player’s physical profile
- Visualization and Presentation of Results
- Creating graphs with Python (Matplotlib, Seaborn)
- Automatic generation of reports for the coaching staff (PDF, HTML)
MODULE 11. APPLICATIONS OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN SPORTS PERFORMANCE (6 ECTS)
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Introduction to Machine Learning
- What is Machine Learning and why is it relevant in sports?
- Differences between supervised, unsupervised, and reinforcement learning
- Lifecycle of an ML model: training, validation, deployment
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Types of Models and Use Cases in Physical Preparation
- Classification: detecting physical states (fatigue, risk)
- Regression: predicting performance metrics (distance, power)
- Clustering: segmenting players by physiological or technical profiles
- Applied cases: automatic thresholds, load anomalies, error detection in data
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Generative Artificial Intelligence and AI Assistants
- What is generative AI and how it differs from other types of AI
- Applications in sports: automatic report generation, narrative dashboards
- Personalized virtual assistants (chatbots with natural language + data)
- Practical example: creating a generative AI assistant to prepare weekly load reports
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Model Implementation and Automation
- Basic integration in physical analysis workflows (input – model – output)
- Basic production concepts: APIs, automation with scripts
- Monitoring models in use: detecting failures or changes in data
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Hands-on Practice with Python and Accessible Tools
- Key libraries: Scikit-learn, Pandas, Streamlit, LangChain, OpenAI
- Creating functional prototypes without advanced programming
- Model documentation and collaboration with technical teams
MODULE 12. MASTER’S FINAL PROJECT (12 ECTS)
2. Data Collection
3. Data Cleaning
4. Machine Learning Analytical Model
5. Visualization
6. Conclusions
7. References
You will work with these providers of football data, tools, and video analytics platforms
ACADEMIC DIRECTION
David Sáez
CEO of Sports Data Campus, Big Data International Campus at ENIIT (Innova IT Business School)
He is the CEO of Sports Data Campus (Big Data International Campus). He holds a Master’s in Project Management, a Master’s in Sales and Marketing Management, and is an expert in Leadership and a Master’s in Internet Application Development. He is also the CEO of ENIIT (Innova IT Business School). He has over 20 years of experience leading e-learning projects for top-tier companies, both nationally and internationally. He is an expert in educational technology, e-learning, new methodologies, and the production and management of postgraduate courses and LMS platforms.
Cristóbal Fuentes
Head of Performance at Malmö FF
He holds a degree in Physical Activity and Sport Sciences from the University of Granada. He also holds a Master’s degree in Injury Prevention and Rehabilitation endorsed by the Spanish Olympic Committee (COE) and the Royal Spanish Football Federation (RFEF), as well as a Master’s degree in Teacher Training. In addition, he is a UEFA PRO licensed coach and holds an Advanced Certificate in Tensiomyography. His expertise lies in physical performance analysis through the use of EPTS (GPS) technology.
His professional career has been developed across different structures and competitive levels in both domestic and international football, from youth development stages to the professional game. He has worked with clubs including Lucena CF, Granada CF, Córdoba CF, Cultural y Deportiva Leonesa, AD Alcorcón, CD Tenerife, Real Oviedo, SC Internacional, Charlotte FC and Malmö FF in Sweden, his most recent team. He also brings experience in international tournaments, further strengthening his perspective on performance in high-demand environments.
He is currently the Academic Director at Sports Data Campus.
Alberto Méndez
Head Fitness Coach at Al-Sadd SC
He holds a degree in Physical Activity and Sports Sciences from the University of Las Palmas. He also completed a Master’s in Exercise Physiology at The University of Western Australia and holds a PhD in Sports Sciences from the University of Oviedo.
He teaches in various national and international Master’s and postgraduate programs. He is currently responsible for strength and conditioning and injury rehabilitation for the Qatar National Football Team. Previously, he led the Physiology and Physical Preparation Department at ASPIRE Academy (Qatar). As a researcher, he has published over 100 articles indexed in the JCR.
INSTRUCTORS
WORLD-CLASS FACULTY AT YOUR SERVICE
Cristóbal Fuentes
Head of Performance at Malmö FF
Luis Suárez
Head of Performance at FC Lugano
Alberto Méndez
Head Fitness Coach en Al-Sadd SC
Oliver Gonzalo Skok
External Advisor for Professional Footballers and Clubs
Hani Al Haddad
Head of performance at Al-Qadsiah de Arabia Saudi
Pepe Lázaro
Head of Performance at Al Qadsiah F.C.
Jose Antonio Romero Caballero
Consultor Stratebi
Pablo Sanzol
Sports Technical Secretary at Deportivo Alavés
David Fombella
Big Data Consultant at StrateBI and Academic Co-Director
Javier Fernández
Senior Data Scientist at Sportian
MASTERCLASS
ANALISTAS PROFESIONALES, DIRECTORES DEPORTIVOS, ENTRENADORES, STAFF…
LUCAS BRACAMONTE
Professional Extension Director
André Silveira
International Development Officer at Sports Data Campus
ANDRÉS LÓPEZ SAGARRA
Physical Coach & Sport Scientist at Aspetar
Maurici A. López-Felip
CEO & Co-Founder of Kognia Sports Intelligence
Ismael Fernández
PhD in Physical Activity and Sports Sciences (CAFYD) and Co-founder of ThermoHuman
Asier Extebarría
Director of Business Development at Voon Sports
Víctor Escamilla
Research Departament Specialist at ThermoHuman
Andre Pawlowski
Customer Success Specialist at Catapult- Tactics and Coaching
Joshua Lee
Customer Success Specialist at Catapult
Do you want to work in professional environments?
Sports Data Campus Professional Extension
Sports Data Campus Professional Extension connects you with the job market. If you study one of our master’s programs, we help you take the next step in your career.
Join our master’s programs and take part in the 2026 Global Project
Access real performance data from top players. Create metrics, predictions, and dashboards, and publish insights using professional methodology within a project team.
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About our available scholarships and special conditions.