This course introduces the scientific foundations of sports injury causation, workload modelling, and the emerging role of artificial intelligence in injury prevention. Learners will explore how injury mechanisms have evolved from simple monocausal views to multifactorial, dynamic, and systems-based approaches that reflect real athlete complexity. Through clear explanations and practical football examples, the course covers essential concepts such as intrinsic and extrinsic risk factors, the dynamic recursive model, the workload–injury relationship, and modern systems thinking used in elite performance environments.
Theoretical Bases of Health and Injury Management
Theoretical Bases of Health and Injury Management
This course is part of AI Applied to Health and Injury Prevention Specialization
Instructor: Marisa Sáenz
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand modern injury causation models and systems-based frameworks in elite sport.
Apply precise workload metrics to manage injury risk and player availability.
Explore how AI and ML predict injuries using multi-modal performance data.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Assessments
8 assignments
Taught in English
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This course is part of the AI Applied to Health and Injury Prevention Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Explore how targeted training transforms the athlete’s body, the physiological boundaries that define elite performance, and the difficult balance between pushing limits and risking injury. Through in-depth lessons, you’ll discover the mechanisms of adaptation, the warning signs of overtraining, and the interplay between fatigue, recovery, and injury risk.
What's included
6 videos4 readings2 assignments
Delve into the art and science of prescribing training load for optimal results. This module unpacks the critical dose-response relationship, the surprising paradoxes of training intensity, and the evolution of data-driven models that help minimize injury while maximizing performance gains.
What's included
6 videos3 readings2 assignments1 discussion prompt
Uncover the multifaceted impact of injuries on individual and team performance, from immediate setbacks to long-term consequences. Learn to decode the “injury puzzle” and apply practical, evidence-based solutions to keep athletes healthy, resilient, and performing at their best.
What's included
4 videos3 readings2 assignments1 discussion prompt
Gain insight into the ever-evolving models that explain why injuries occur in high-performance sport. This module guides you through foundational theories, advanced systems thinking, and the latest technological tools—including AI and real-time monitoring—that empower you to predict, prevent, and manage injuries with precision.
What's included
5 videos3 readings2 assignments1 discussion prompt
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Instructor
Explore more from Public Health
Real Madrid Graduate School Universidad Europea
Real Madrid Graduate School Universidad Europea
Real Madrid Graduate School Universidad Europea
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