Master of Lifelong Training in Sports Big Data - Online
DURATION
9 Months
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
28 Oct 2025
TUITION FEES
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STUDY FORMAT
Distance Learning
Introduction
The master's degree in online sports big data is a qualification that allows you to specialize as a game analyst or data analyst in the sports sector. The program has a practical approach and offers a comprehensive view of big data and how to obtain the best information through data. Along with learning the use of data and artificial intelligence, the curriculum deepens the understanding of the game and the steps that must be taken to find the best players in different sports practices.
If you are looking for flexibility, our online methodology offers you what you need. Online classes are taught live and recorded on the virtual campus. You can access them at the time you prefer or see them again to review concepts.
Live your Real Madrid experience, enjoy trips to Madrid, Portugal or the Netherlands, in which you will be able to learn first-hand about the main international sports entities, their management models that have led them to success and you will meet with their executive managers.
Why study this Master in Sports Big Data online?
- You will develop the skills to automate ETL processes in workflows as a sports analyst
- You will know how to use and write code for data analysis and visualization
- You will master the use of data management in cloud databases (NOSQL)
- You will use visualization tools to present information to technical bodies and athletes.
- You will apply computer vision for game analysis in team sports
- You will use tools such as: R, R Studio, Python, Tableau, Power BI, Métrica Play or Wy Scout
- You will be trained by professionals active in the sports sector such as sport analytics. Experts from Real Madrid CF, from leading technology companies who will bring their experiences and knowledge to the program
- You will know how to apply big data in the different team sports where data is used.
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Admissions
Scholarships and Funding
Curriculum
The study plan is made up of 10 modules, which will provide you with practical, multidisciplinary and current training. At the end of this program, you will receive the title of Master of Lifelong Training in Sports Big Data issued by the European University of Madrid.
Module 1. Sport Analystics (6 ECTS)
- Introduction to the application of sport analytics
- Introduction to game analysis
- Introduction to the use of big data in sports
- game theory
- Possibilities and uses of sport analytics in different sports
Module 2. Data analysis and data management in sport (6 ECTS)
- Introduction to data management in sports
- ETL processes in sports
- Use of databases in sports (MySql)
- Data management in cloud databases (NOSQL)
- Introduction to modeling and data analysis
- Introduction to the use of code for process automation
Module 3. Applications and developments in R:Cran (6 ECTS)
- Introduction to R
- Use and developments of R in sports
- Visualization and reports with R (Shyni)
- CRAN
- Application of Libraries to Sports Analysis
Module 4. Developing in Python: processing and visualization Github/Matlplotlib (6 ECTS)
- Introduction to Python development
- Using Pandas
- Matplotlib application
- Application and development in sports
Module 5. Advanced visualization tools for sports analysis (6 ECTS)
- Introduction to advanced visualization, applications and usage tools
- Tableau
- Power BI
- Google Locker Studio
Module 6. Computer vision and use in sports (6 ECTS)
- Introduction of video applications in sports
- Data extraction from video
- Creation and development of labeling processes in sports
- Use of video tools and editors in sports
- Telestration in sports
Module 7. Application of analytics and big data to the main team sports, basketball and handball (6 ECTS)
- Basketball game analysis
- Using data to improve basketball performance
- Application of advanced data analysis processes in basketball
- Analysis of the game in handball
- Using data to improve performance in handball
- Application of advanced data analysis processes in handball
- Application and use of big data in other team sports
Module 8. Application and use of big data in football (6 ECTS)
- Data-driven game analysis
- Data-driven physical performance analysis
- Creation and development of big data tools in football
Module 9. Jobs profile and new trends in the application of sport analytics (6 ECTS)
- The Role of the data scout in sports
- The Role of data analysis in sports
- The Role of sport sciences in sports
- The role of the modeler in sports
Module 10. Master's thesis (6 ECTS)
Design, creation and application of a data-based sports analysis tool
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.