Postgraduate Diploma in Sports Data Analytics
Private degree issued by Universidad Europea de Madrid
Start: September 2026 | Escuela Universitaria Real Madrid Universidad Europea | Faculty of Medicine, Health and Sports | Title you will receive: Postgraduate Diploma in Sports Data Analytics |
The Postgraduate Diploma in Sports Data Analytics offers a strategic and applied understanding of the impact of Sports Analytics in modern sport. Throughout the programme, you will discover how to transform data into key decisions to improve performance, identify talent, prevent injuries and build competitive advantages.
You will be trained to generate real impact in sport through data:
- Interpret and apply sports data to optimise decision-making in real-world contexts.
- Use Big Data tools, data visualisation and advanced analytics to extract, analyse and communicate relevant information.
- Develop models applied to performance, injury prevention and talent identification.
- Apply analysis to scouting, tactics and strategic planning within sports teams and organisations.
Train through a online learning methodology, with access to content from day one, allowing you to organise your studies and progress at your own pace. In addition, you will experience White Week, a unique one-week sports experience featuring live-streamed talks delivered by industry leaders, club executives and elite athletes.
The quality you deserve
National Sports Award Copa Stadium
In 2018, Escuela Universitaria Real Madrid Universidad Europea received the National Sports Award Copa Stadium for its contributions to education, research, and the professionalisation of sports on both national and international levels.
Shanghai Ranking 2025
Our faculty of physical activity and sports sciences is ranked among the top 30 worldwide, according to the prestigious Academic Ranking of World Universities by the Shanghai Ranking 2025.
Discover what your experience will be like
Experience a unique journey where academic excellence, innovation and a global vision of the sports industry come together to support your professional development. Discover everything that awaits you on this transformative journey.
Horizon breakers: pushing boundaries, creating your future with AI
At Escuela Universitaria Real Madrid Universidad Europea, we’ll teach you how to apply artificial intelligence (AI) in real-world settings. We’re proud to be recognised by Forbes as one of the most influential universities in education for 2025, thanks to our strong commitment to generative AI.
- You’ll have access to the Advanced Course in Study Techniques with AI, where you’ll learn step by step how to integrate artificial intelligence into your daily life as a student.
- You’ll use tools to increase your productivity and optimise your learning process, enhancing your academic experience and improving your results.
- You’ll also take part in an exclusive workshop with Google, where industry professionals will guide you through the implementation and use of various AI applications.
Study plan
The curriculum of the Postgraduate Diploma in Sports Data Analytics is made up of 9 modules that provide you with practical, multidisciplinary and up-to-date training. All materials will be available on the virtual campus. The course content includes:
Study plan structure
Module I – How Data Drives Success in Sport
- The Impact of Data on Modern Sport
- Introduction to Sports Analytics
- Sports Analytics Methodology
- Classification and Analysis of Data Types: Event Data and Tracking Data
- Emerging Tools and Data Privacy
- Breaking the Mould: How the Oakland Athletics Revolutionised Sport Through Data
Module II – Big Data Tools in Sport
- Databases: Data Extraction and Processing
- Algorithm Development and Implementation
- Tools for Data Visualisation and Interpretation
- Tableau
- Microsoft Power BI
Module III – Game, Competition and Performance Analysis
- Integration of Data in Team Tactical Planning
- Methodologies for Analysis: From Visualisation to Prediction
- Comparative Analysis: Self vs Opponent, Individual and Collective
- Success Stories: Practical Applications of Data in Improving Game Strategy
- Performance Indicators (KPIs)
- Matchtracker
- SAP Tennis Analytics
Module IV – Scouting, Talent Identification and Team Management
- Talent Evaluation and Pattern Detection through Metrics
- Sporting Direction: Internal Analysis and KPI Identification
- Sporting Direction: External Analysis and Decision-Making
- Risk Assessment and Return on Investment in Player Transfers
- Sports Scouting and Talent Identification
- Wyscout: Talent Identification and Evaluation
- StatsBomb: Data Scouting and Decision-Making
Module V – Optimising Physical Performance and Injury Prevention
- Monitoring and Analysis of Physical Performance: Wearables and Integrated Systems
- Training and Injury Prevention through Individual Patterns
- Recovery Strategies and Fatigue Management
- Impact of Physical Performance on the Game Model
- Wellness Monitoring and Injury Prevention
- Catapult: Load Monitoring and Management
- Kitman Labs: Injury Prediction and Prevention
Module VI – Artificial Intelligence and the Future of Sport
- AI Applied to Sports Performance Analysis
- AI for Scouting and Talent Identification
- AI, Ethics and Decision-Making in Sport
- Hudl IQ: Artificial Intelligence Applied to Sports Analysis
- SkillCorner and Computer Vision in Sport
- Generative AI and the Future of Sports Analytics
Module VII – Inside Real Madrid C. F. – Building an Elite Sports Ecosystem
- Real Madrid Next: The Innovation Ecosystem
- VMOST: Aligning Vision, Strategy and Tactics
- Organisational Alignment Under Pressure
- AI-Powered Sports Organisations
- Building Sustainable Sports Business Models
Module VIII – Inside Real Madrid C. F. – How Data Transforms Sports Decision-Making
- Contract Management and Depth Chart Analysis
- Analytics Platforms: SAP Sports One & Tableau
- The CRM Revolution: Intelligent Data Systems
- Machine Learning Foundations Applied to Sport
- Revenue Intelligence and Predictive Analytics
Module IX – Inside Real Madrid C. F. – Optimising Physical Performance in Modern Sport
- Sports Analytics Platforms & Performance Visualisation
- AI-Powered Performance Systems
- E-Health & Predictive Player Care
- Machine Learning Foundations Applied to Sport
- Squad Depth, Fatigue and Long-Term Sustainability
An intensive programme to specialise in Sports Analytics
1
At an initial stage
- You will understand the impact of data, artificial intelligence and Sports Analytics in modern sport, and how they are used in elite environments for decision-making.
- You will explore the use of artificial intelligence and machine learning in sport to anticipate scenarios and improve decision-making.
- You will understand how data-driven sports organisations operate, integrating data, technology and strategy into high-performance models.
2
As the course progresses
- You will master Big Data tools, databases and data visualisation (Tableau and Power BI) to extract, structure and communicate relevant insights.
- You will learn to integrate tactical, physical and contextual data to analyse competition, interpret performance and optimise sports decision-making.
- You will develop skills in scouting and talent identification, using metrics, KPIs and evaluation models to build competitive teams.
- You will apply performance monitoring systems (wearables, GPS and tracking) to optimise workload, improve performance and prevent injuries.
Career Opportunities of the Postgraduate Diploma in Sports Data Analytics
The sports industry is undergoing an unprecedented transformation driven by the use of data, technology, and intelligence applied to performance. The Postgraduate Diploma in Sports Data Analytics prepares students to develop their careers in some of the fastest-growing and most promising areas within the global sports ecosystem.
Sports Data Analyst
Collects and analyses sports data to generate insights that support decision-making.
Performance Analyst
Evaluates athletes’ performance to optimise results in training and competition.
Tactical and Performance Analyst
Analyses game patterns and tactical behaviours, turning data into strategic improvements.
Scouting & Talent Analyst
Identifies and evaluates sporting talent using data to support recruitment and transfer decisions.
Physical Performance & Monitoring Specialist
Manages and analyses training data (GPS, wearables) to optimise workload and prevent injuries.
Sports Analytics Consultant
Advises clubs and sports organisations on the implementation of data-driven solutions.
Discover the benefits of our online learning methodology
Intuitive Virtual Campus
Benefit from the latest virtual learning technologies through our online platform, accessible from any device, anywhere in the world.
Flexible Study Planning
Access all course content from day one and organise your studies around your schedule, allowing you to learn whenever and wherever it suits you.
Engaging Learning Resources
Study using downloadable materials, explanatory videos and practical exercises. All programmes are supported by the academic excellence and educational quality of Universidad Europea.
Admissions
Recommended profile
The Postgraduate Diploma in Sports Data Analytics is designed for sports professionals and analytical profiles seeking to specialise in the use of data applied to performance, competition and decision-making in sport.
Admissions requirements
To gain admission to the Postgraduate Diploma in Sports Data Analytics, applicants must meet at least one of the following requirements:
- Hold a Bachelor’s degree. For graduates from foreign education systems, formal recognition of the degree is not required.
- Demonstrate accredited professional experience, in line with the specific requirements of each professional field, ensuring the acquisition of the competencies required for admission to the programme. Certain qualifications are expressly excluded by Universidad Europea and do not allow access through professional experience alone.
- Hold a Higher Vocational Training qualification (Advanced Technician level) with accredited professional experience following the completion of internships.
In all cases, Universidad Europea may restrict access to certain programmes if a specific prior university qualification has not been completed.
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