Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
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Details
Program Details
Degree
Masters
Major
Sports Coaching | Sports Management | Sports Science
Area of study
Sports
Course Language
English
About Program

Program Overview


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.


Academic Quality

The programme has been developed by the academic team of the Escuela Universitaria Real Madrid-Universidad Europea with support from the technical staff of the 20th century's most successful football club. Companies at the cutting edge of innovation in the use of data to improve sports management and performance are also partners in this unique master's degree.


Professional sport industry experts have contributed to the academic development of the programme, together with companies such as Moneyball, a pioneer in the use of data to improve sports performance in Spain, which has worked with Spain’s top clubs since its foundation.


Experiential Learning

During this master's degree you will learn how to generate and process data to improve performance both on and off the pitch, and how to analyse it and determine the best strategies for success.


Outstanding Teaching Staff

Benefit from the experience and knowledge of leading professionals in the technological transformation of the sport industry. Everyone involved in this master's degree works in top-level institutions in the world of football, enabling you to build a network of professional contacts that will be key to your career development.


A Forward-Looking Programme

The sports industry is going through a period of disruption as technology transforms every business paradigm and performance on the pitch. Demand for professionals in the fields of scouting, match analysis and methodology is constantly growing, providing an opportunity to turn your passion into your profession. In addition to the use of data, you will be introduced to the world of artificial intelligence applied to sport.


State-of-the-Art Facilities and Technology

Take advantage of the latest technology and state-of-the-art facilities, such as our Human Performance Research Lab, to develop the skills you need for your future in the football industry. You will have access to the laboratories and sports facilities of the leading university in Spain for sports science research and those of Real Madrid C.F.


Enjoy the Real Madrid Experience

Benefit from exclusive professional visits to Real Madrid C.F. and live sporting events such as White Week, a week of one-off lectures with leading sports industry professionals, professional athletes and Real Madrid C.F. executives, organised by the school with exclusive access for our students. The programme also has its own calendar of conferences and exclusive activities, giving students the opportunity to learn from internationally renowned professionals.


A Prestigious School

Over 17,000 students have graduated from the school in its 18-year history, many of them now successful professionals in different areas of the sports industry, reflecting the school’s high academic standards.


International Environment

As well as the international experience on offer, the School provides a unique multicultural environment, with 80% of its students coming from abroad and professors from all over the world. The learning experience on the Master's is further enriched by sharing the classroom with fellow students and professionals from over 80 countries and learning from them.


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

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.

Employability

Career Opportunities

This master's degree prepares you to manage and lead sports analysis and data management projects in a professional setting. You will be able to develop your career in roles such as:


  • Sports scientist , applying scientific analysis to optimize athletic performance.
  • Sports data scientist , managing large volumes of data to extract key insights for decision-making.
  • Data scout , identifying patterns and trends through data analysis to discover talent.
  • Scout , specializing in talent identification and opponent analysis for competitive teams.
  • Game analyst , breaking down tactics, strategies, and statistics to support coaching staff and enhance team performance.

Admissions

Requirements 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.


Academic Quality

Universidad Europea has received recognition from various bodies that supports its academic quality. In particular, it has received the following prestigious awards: the European 500+, the QualiCert and the Madrid Excelente Quality Assurance Seal.


In the international QS Stars accreditation rating, Universidad Europea has obtained a total of four out of five stars. This external accreditation system determines the level of excellence achieved by universities in several areas. Universidad Europea has achieved the highest score of five stars in employability, teaching, facilities and social responsibility.


  • These awards have been awarded to the European University of Madrid.

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Internal Assurance Quality System (IQAS) University's regulations Student services


Internal Assurance Quality System (IQAS)


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University's regulations


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Student services


  • Management services
  • Professional careers services
  • Complaints and suggestions system
  • General schedule
  • School calendar
  • Personal schedule

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