Master AI Sports Analytics with Real-World Impact

Join Taiwan's premier program where cutting-edge AI meets athletic performance. We're training the next generation of sports data scientists who understand both technology and human potential.

Explore Programs
AI sports analytics visualization showing performance data and predictive modeling

Where Data Meets Athletic Excellence

Since launching in Taiwan, we've watched our graduates transform how teams understand performance. From injury prevention algorithms to game strategy optimization, our alumni are reshaping professional sports across Asia. The numbers tell part of the story, but the real impact happens on the field.

320+ Program Graduates
85% Working in Sports Tech
12 Partner Organizations
6 Months to Complete
Sports analytics dashboard displaying real-time performance metrics and AI-driven insights

AI That Actually Works in Sports

We focus on practical applications that solve real problems teams face every day. No theoretical fluff – just powerful tools that make a difference.

Predictive Injury Prevention

Build models that identify risk patterns before injuries occur. Our graduates have helped reduce injury rates by analyzing movement patterns, training loads, and recovery metrics in ways that actually work in practice.

Performance Pattern Recognition

Discover what separates peak performance from average days. You'll learn to spot the subtle indicators that coaches miss, creating actionable insights that improve decision-making during crucial moments.

Strategic Game Planning

Analyze opponent behavior and develop counter-strategies using machine learning. This isn't just about stats – it's about understanding human patterns and predicting how teams will respond under pressure.

Machine learning algorithms processing sports performance data in real-time analysis environment

Your Journey Through AI Sports Mastery

Students working with advanced sports analytics software and data visualization tools
1

Foundation & Data Fundamentals

Start with sports data structures, statistical foundations, and Python programming specifically for athletics. We cover everything from basic performance metrics to complex biomechanical datasets. You'll work with real data from day one.

2

Machine Learning Applications

Dive into ML algorithms that actually matter in sports contexts. Pattern recognition, classification models, and predictive analytics using TensorFlow and specialized sports libraries. Every assignment uses actual game data.

3

Real-World Project Implementation

Partner with local teams to solve genuine challenges. Whether it's optimizing training schedules, analyzing player development, or creating scouting tools, you'll build something that gets used professionally.

4

Industry Mentorship & Portfolio

Work directly with analytics professionals from major sports organizations. Polish your projects, build your professional network, and prepare for career opportunities in the rapidly growing sports tech industry.

Learn From Industry Practitioners

Our instructors aren't just academics – they're actively working in sports analytics, bringing current challenges and solutions directly into the classroom.

Portrait of Dr. Magnus Lindqvist, Sports Analytics Director

Dr. Magnus Lindqvist

Sports Analytics Director

Spent eight years developing performance models for European basketball leagues. Magnus brings real experience from high-pressure environments where analytics decisions directly impact championships. His injury prevention work has been adopted by teams across three countries.

Portrait of Sarah Chen-Nakamura, Machine Learning Engineer

Sarah Chen-Nakamura

Machine Learning Engineer

Former Google AI researcher who transitioned to sports technology. Sarah specializes in computer vision applications for movement analysis and has patents in automated coaching systems. She's currently consulting with Olympic training programs.

Ready to Join Our Next Cohort?

Applications for our Fall 2025 program open in May. We're looking for motivated individuals with basic programming knowledge and genuine interest in sports analytics.

What We're Looking For

You don't need to be a professional athlete or data scientist. We want people who understand that sports is about human performance and are curious about how technology can enhance that understanding.

Basic Python experience, statistics background, and genuine enthusiasm for sports are your starting points. We'll build everything else together.

Students collaborating on sports data analysis project with multiple screens showing performance visualizations

Program Investment & Support

Our six-month intensive program costs NT0,000, including all materials, software licenses, and project mentorship. We offer payment plans and need-based assistance for qualified candidates.

Alumni report average salary increases of 40-60% within 18 months of graduation, with many transitioning into specialized sports technology roles.

Modern classroom environment with advanced computer workstations and sports analytics software

Your Sports Analytics Career Starts Here

Join professionals who are shaping the future of sports through intelligent data analysis. Our next cohort begins September 2025, and early applications receive priority consideration.