Students will explore how the sports industry leverages sports analytics and predictive models to compute win/loss probabilities, optimize player and team strategies, and enhance fan engagement. By combining player statistics, team performance metrics, and machine learning, students will learn how predictive analytics plays a role in injury prevention and gaining a competitive edge. This hands-on experience introduces the real-world application of analytics in sports, demonstrating how AI impacts every aspect of the industry.

By the end of the course, students will have gained practical skills in data collection, machine learning, and sports strategy analysis, preparing them for careers at the intersection of technology and sports.

Career Pathways and Salary Ranges

This course provides foundational skills for careers such as:

• Sports Data Analyst ($60,000–$100,000)
• AI/ML Specialist in Sports Technology ($90,000–$150,000)
• Performance Coach with AI Expertise ($50,000–$85,000)
• Fan Engagement Strategist ($55,000–$95,000)
• Injury Prevention Analyst ($70,000–$120,000)

These roles represent the growing demand for tech-savvy professionals in the sports industry, where data and AI drive decision-making and innovation. This course equips students with the tools to excel in STEM and sports-related fields while fostering a deeper understanding of health and wellness.