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Advanced Performance Analytics
& Elite Sports Science Education

Advanced Performance Analytics

& Elite Sports Science Education

SMT Academy: Advanced Sports Science Education

Applied exercise physiology, performance data interpretation, and sports science education for coaches, athletes, and performance professionals.

Training decisions benefit from understanding exercise physiology, data quality, and the limitations of monitoring tools. Emerging AI applications in sports science also require physiological context and critical scientific judgment.

SMT Academy connects scientific principles with practical interpretation of training and performance data. Explore our online courses and build skills for applying sports science to training and performance.

Professional viewing an online sports-science class and performance data at SMT Academy

Who Is the Academy For?

Our learning areas focus on applying scientific concepts to training decisions and professional development. SMT Academy serves coaches, exercise professionals, sports scientists, and athletes seeking a deeper understanding of training.

Exercise Professionals & Coaches

Practitioners transitioning from traditional coaching models to objective, data-driven sports science programming.

Sports Scientists & Analysts

Professionals seeking to interpret wearable and athlete-monitoring data, understand its limitations, and communicate practical insights.

Strength & Conditioning Specialists

Professionals seeking to elevate their programming methodologies through applied physiology and evidence-based sports science education.

Online Courses

Explore three 12-hour courses in applied sports physiology, athlete monitoring, and training load management and recovery. Each course combines focused study with practical activities and assessment. Total study time across all three courses: 36 hours.

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Applied Sports Physiology

12 total study hours

Understand how the body supplies energy, responds to exercise, and adapts to training. Connect exercise intensity, fatigue, and recovery with practical sports-performance examples.

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Athlete Monitoring

12 total study hours

Collect and interpret wearable data, training records, perceived effort, and wellness information. Evaluate data quality and communicate an athlete’s weekly monitoring results in context.

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Training Load Management and Recovery

12 total study hours

Use athlete-monitoring findings to plan training progression, organize demanding and easier sessions, and incorporate recovery. Practice adjusting a training week with a clear rationale.

Build the skills to connect scientific principles, performance data and everyday training decisions.

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Live Online Masterclass

Toward Super Intelligence in Sports Science & Human Performance:

The Agentic AI Revolution

November 5, 2026 · 7:00 PM Eastern Time (Orlando)

60 minutes

Inaugural registration: US$14.99

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