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Course in Big Data and AI in Sports Management Online

Enroll now to learn artificial intelligence principles in sports, studying our Course in Big Data and AI from Real Madrid Graduate School.

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Online Big Data course

The online Course in Big Data and Artificial Intelligence in Sports Management is a 10-week programme designed by experts at Universidad Europea and Real Madrid that allows you to specialise in artificial intelligence with a sports context. With the online course in Big Data and AI, you will learn the fundamentals of artificial intelligence focused on sports management. You will revolutionise and improve the performance of your institution through data analysis, with the most pioneering technologies in the sector.

Online with live classes English , Spanish
6 ECTS Title issued by Universidad Europea de Madrid 10 weeks Private degree Real Madrid Graduate School - Universidad Europea School of Sports Sciences

Why study the online Big Data course

Real Madrid graduate school

Has been training professionals for 15 years and more than 13,000 graduates today carry out their work in the sports sector.

Lead the digital transformation of the sports sector

Acquire the necessary skills for the development of projects and implementation of artificial intelligence systems in your sports institution.

Masterclasses with experts

Every 15 days you will have the opportunity to attend masterclasses with expert AI in sports.

100% online

All the material will be available from the beginning of the course so that you can access it when and how you want.

logo olocip

Our partners

Teaching staff made up of Artificial Intelligence experts on the sports Industry.

This Master has the endorsement of Olocip, spanish pioneers company in development and application of Artificial Intelligence in the sports industry.

Real Madrid Graduate School – Universidad Europea

Real Madrid Graduate School – Universidad Europea is the world's leading graduate school in sport that offers a unique academic model.

More than 13,000 graduates have been trained at the school, most of whom carry out their professional activity in the Sports Industry, having clearly contributed to the professionalization of the Industry at a Global level.

Become an expert in big data within the sports sector

From Zero to Hero

  • You will know the fundamentals on which artificial intelligence, Machine Learning and Deep Learning are based, as well as their main areas of application.

Just do it

  • You will learn to develop artificial intelligence systems in a practical way and without the need for programming.

Join the revolution

  • It revolutionises the sports industry with a global and transversal vision of data applied to sport, an area in which an organistion such as Real Madrid C.F. is embarking.

Climb the AI ladder

  • You will lead the digital transformation of your organisation, applying artificial intelligence in sports management.

Specialise in Artificial Intelligence in sports with Real Madrid C.F.

You will use analytical tools such as:

  • Teachable Machine: It provides a first contact with the development of an artificial intelligence system in a simple, interactive and visual way.

  • Weka: It allows to develop artificial intelligence system in depth in a practical way through a graphical interface, without the need for programming.

  • TCT-Scout: Uses artificial intelligence to assist soccer club squad planning.

5 Masterclass with expert AI in sports

  • Masterclass: Sports Analytics, eSports.

  • Masterclass: Sports Analytics, management teams.

  • Masterclass: Digital transformation at Real Madrid C.F.

  • Masterclass: OTT: Changes in digital consumption patterns and their effect on the traditional broadcasting business.

  • Masterclass: Fan engagement and data protection. The legal aspects of the collection and management of fan data.

Study plan

The study plan for the Course in Big Data and AI in Sports Management is made up of four modules that will provide you with practical, multidisciplinary and up-to-date education. All the material will be available on the virtual campus and you will also have access to five live masterclasses with experts from the sector. The content included on the course includes:

Module 1. Introduction to Artificial Intelligence

Artificial Intelligence, the new electricity. Impact of AI on industry and society. Tutorial: Build your first AI system.

Module 2. From data to knowledge

Climbing the AI ladder. The areas of AI. Tutorial: Evaluation of actions in soccer.

Module 3. How do machines learn?

Introduction to Machine Learning. Learning, an iterative process. Tutorial: Build an expected goal model.

Module 4. How to integrate artificial intelligence in your organisation

Digital transformation. How to implement an AI project. Tutorial: AI-based player scouting in soccer.

Course Format

The course is designed to offer quality and specialised training in an flexible and accommodating way allowing you to combine your studies with your personal and professional commitments.

Course Material

  • Downloadable material.

  • Explanatory video.

  • All content will be available from the beginning of the course and you will have 3 months to complete the course at your own pace.

Evaluation

  • No final exam.

  • Masterclass every two weeks with experts from the sector, where real cases within the sports industry will be closely examined.

Admissions

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Reservation and registration formalization

Download the admission application form and send it along with a photocopy of your DNI to UEONLINE@UNIVERSIDADEUROPEA.ES.

The admission process does not imply any cost or commitment until you have formalized the reservation.

Personalised advice: call us at (+34) 918 340 192, or write to us by email UEONLINE@UNIVERSIDADEUROPEA.ES, and you will receive all the information you need about admission to the course from our specialised advisors.

Student Profile

  • This online course is aimed at sports management professionals who want to learn the basics of artificial intelligence to grow professionally.

  • It is also aimed at all those graduates who, although they do not have specific training in mathematics and computing, wish to incorporate disruptive technologies based on the practical application of artificial intelligence to their training, to improve and redirect their professional development.