This course explores the emerging technologies that will shape the future of football analytics, from advanced tracking systems and live data pipelines to machine learning, LLMs, and AI-driven decision tools. Learners will understand how innovations such as computer vision, skeleton tracking, body-orientation models, and contextual load monitoring are transforming the way clubs analyze performance, manage fatigue, and make in-match tactical adjustments.



Future of data and technology in football
This course is part of Maximum Performance and Technology in Sports Specialization

Instructor: Marisa Sáenz
Included with
Recommended experience
What you'll learn
Explore how AI, ML, and tracking technologies will shape the future of football analysis.
Understand LLMs, wordalisation, and automated scouting workflows.
Discover how supervised and reinforcement learning can power next-generation tactical and performance systems.
Skills you'll gain
Details to know

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December 2025
8 assignments
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There are 4 modules in this course
Discover how granular tracking of player movement—down to body orientation—offers new windows into decision-making and defensive mastery. This module unpacks both the opportunities and challenges of skeleton data, revealing how advanced tracking is poised to revolutionize tactical understanding and player evaluation.
What's included
4 videos4 readings2 assignments
Dive into the real-time world of live football analytics. Learn about current technological limits, the quest for more actionable in-game data, and how innovations in physical load tracking and tactical flagging are set to influence everything from substitutions to strategic adjustments on the fly.
What's included
6 videos3 readings2 assignments1 discussion prompt
Examine the emerging role of artificial intelligence in player scouting. This module explores how large language models are automating report generation, the current obstacles in AI-driven evaluations, and how new data approaches are making player profiles more comprehensive and actionable than ever before.
What's included
6 videos3 readings2 assignments1 discussion prompt
Unpack the next wave of AI-driven performance analytics. From unsupervised learning inspired by chess to AI assistant coaches and automated data tagging, you’ll see how machine learning is reshaping not just how we analyze football, but how we understand and optimize the game itself.
What's included
6 videos3 readings2 assignments1 discussion prompt
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Instructor

Explore more from Machine Learning

Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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