Master’s Degree in
Sports Science and Data Intelligence
in High-Performance
Turn data into performance: master High-Performance through BIG DATA and ARTIFICIAL INTELLIGENCE
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.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 3000 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
ACCESS TO THE INTERNATIONAL PROGRAM OF
SCHOLARSHIPS
BECAUSE COLLABORATION IS STRENGTH
PROUD OF OUR ECOSYSTEM OF PARTNERS, WHICH KEEPS GROWING EVERY DAY
OUR STUDENTS’ OPINIONS
We are very proud of each and every one of the students who have passed through Sports Data Campus, and who are now part of this great family.
Thank you all so much for your effort
Tommy las
Student MSC Data analytics in Football
Dimitris Stougiannou
Sports Data Analyst
Doowon Son
Sales agent of k-Sports
Kypros Nicolau
Talent ID an Recruitment Coordinator of Nothingam Forest
Tommy las
QA Enginner and Data Science Enthusiast
Marwane Hamdani
Football Data Scientist
Athanasios Ginnopoulos
Mathematician
Nikos Alagkiozoglou
U19 Performance analyst
Gabriel Abilleira Rodriguez
Data Scientist
Polykarpos Efthymiou
Fraud risk analyst
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)
MODULE 3. DATA-PROVIDING TECHNOLOGIES IN PHYSICAL PREPARATION (5 ECTS)
MODULE 4. BASIC DATA PROCESSING: DATABASES IN EXCEL (3 ECTS)
MODULE 5. ADVANCED DATA PROCESSING AND VISUALIZATION: ETL TOOLS, TABLEAU, POWER BI (6 ECTS)
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)
MODULE 9. “DATA-DRIVEN DECISION” IN PERFORMANCE OPTIMIZATION IN FOOTBALL (6 ECTS)
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)
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
Strength and Conditioning Coach for Real Oviedo and Academic Director of the MBDPF
He holds a degree in Physical Activity and Sports Sciences from the University of Granada. He also has a Master’s 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 in Teacher Training. Additionally, he is a UEFA PRO certified football coach and holds a higher certificate in Tensiomyography. He specializes in physical performance analysis using EPTS devices (GPS).
He has worked as a strength and conditioning coach in Spain’s second division (Liga Smartbank) for the past five seasons and previously coached at all levels of Spanish football: Andalusian youth, cadet, national youth league, youth honor division, third division, and Segunda B. The clubs where he has worked include Lucena CF, Granada CF, Córdoba CF, CyD Leonesa, AD Alcorcón, CD Tenerife, SC Internacional, and Charlotte F.C., with additional experience in international tournaments. He currently serves as the tutor for the module “Data Analysis in Sports and Its Relationship with Performance” in the Master’s in Sports Big Data program.
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
Strength and Conditioning Coach of Real Oviedo and Academic Director of the MBDPF
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
Technical Secretariat 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
Director of the Professional Extension Department at Sports Data Campus
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?
Professional Extension Department of Sports Data Campus
The Professional Extension Department of Sports Data Campus 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.
IN ADDITION TO THE OFFICIAL CERTIFICATION, THIS MASTER’S PROGRAM OFFERS 4 EXTRA CERTIFICATIONS TO COMPLEMENT YOUR TRAINING WITH ADDITIONAL SKILLS
CATAPULT PERFORMANCE CERTIFICATION
SOFT SKILLS CERTIFICATION
FOUNDATIONS OF THE GAME CERTIFICATION
LONGOMATCH VIDEO ANALYSIS CERTIFICATION
All our master’s degrees are certified by the most prestigious sports university: UCAM
At UCAM, we are in a constant state of evolution and at the forefront of technology and tools for a national and international benchmark learning experience.
WHAT WILL I RECEIVE WHEN I BECOME A STUDENT AT SPORTS DATA CAMPUS?
WHILE YOU'RE STUDYING
Official University Certification by UCAM, the most prestigious Sports University in the world
Complementary certifications that will give you a complete professional education:
> CATAPULT Performance Certification
> SPORTS DATA CAMPUS Soft Skills Certification
> LONGOMATCH Video Analysis Certification
> SPORT COACH NORTE Game Fundamentals Certification
FROM THE VERY FIRST MOMENT
Access to job opportunities and REAL practical projects with elite teams, thanks to our PROFESSIONAL EXTENSION DEPARTMENT.
Access to our ecosystem of collaborators, with more than 100 professional clubs and elite teams worldwide, and over 120 leading companies in their sector.
24/7 SUPPORT. We’re with you every step of the way and always available whenever you need us.
A UNIQUE LEARNING EXPERIENCE with exclusive, high-quality content you won’t find anywhere else, taught by top professionals and instructors from the best teams in the world.
Exclusive and priority access to Sports Data Forum, events, workshops, and special promotions.
Join the largest Big Data and Sports community in Spanish, where thousands of students connect and enhance their NETWORKING opportunities.
“Never confuse Value and Price. Price is what you pay for a good or service. The value you receive for what you have paid is incalculable.”
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