Sport Analytics Concentration
Turn data into a competitive advantage in sports.
The Sport Analytics concentration within Â鶹ÊÓƵ’s M.S. in Business Analytics & AI prepares students to leverage machine learning and predictive analytics to transform decision-making in the sport industry.
Students apply AI-driven techniques to optimize player performance, enhance team strategy, maximize revenue, understand fan behavior, and create competitive advantage. Through hands-on projects with real sport data, students develop AI models and analytical solutions that directly impact how teams and organizations compete.
Â鶹ÊÓƵ the Sport Analytics Concentration
What will students learn?
Sport organizations now rely on data science and artificial intelligence to gain competitive advantage both on and off the field. The Sport Analytics concentration integrates the technical foundation in machine learning and AI from the MSBA & AI degree with deep specialization in sport industry applications.
Students will learn to:
- Build predictive models to analyze player, team and organizational performance
- Leverage machine learning to evaluate business strategies and measure impact in real time
- Apply AI and advanced analytics to optimize revenue, consumer engagement and operations
- Master regression, causal inference, neural networks and other advanced modeling techniques
- Develop and evaluate AI applications used in game strategy and competitive decision-making
- Transform complex data and algorithmic insights into strategic recommendations for sport stakeholders
- Complete applied projects solving real-world sport business challenges with AI-powered solutions
What are the required courses?
The concentration includes three courses in addition to the full .
MSBA 6690: Sports Analytics
The class will discuss the theory, development, and application of analytics in sports. Students will learn about the application of analytics in sports for purposes of in-game strategy, player performance, team management, sports operations, and fantasy competitions, among many other topics. The class will consist of lectures, and guest speakers from the sports industry, and culminate with a group project. (3 credits)
MSBA 6691: Regression and Causal Analysis for Sport Business
Evidence-based decision-making is fundamental to successful sport organizations, requiring advanced analytical methods to evaluate causal relationships and measure impact. This course provides students with econometric tools and methodologies needed to support strategic decision-making in sport business contexts. Students explore regression analysis, panel data modeling, and treatment effect estimation while learning to assess the effectiveness of business strategies across the sport industry. (3 credits)
MSBA 6692:Â Sport Analytics in Practice
Modern sport organizations require integrated analytical approaches that span various functional areas, including revenue optimization, strategic decision-making, and performance evaluation, to maintain a competitive advantage. This course provides students with comprehensive experience applying analytical methods across the sport business lifecycle. Students integrate revenue and consumer analytics, game strategy modeling, and performance assessment techniques while working on real-world projects that culminate in strategic recommendations for stakeholders in the sport industry. (3 credits)
What are potential career paths?
Apply your skills with professional and collegiate sport organizations, leagues, sports technology companies, media organizations, agencies and other data-driven businesses. Possible career paths include:
Performance & Competition
Sports Data Analyst · Player Performance Analyst · Team Strategy Analyst · Scouting Analyst
Business & Revenue
Business Intelligence Analyst · Revenue Analytics Analyst · Marketing Analytics Analyst · Fan Engagement Analyst
Data & Strategy
Data Scientist · Quantitative Analyst · Operations Analyst · Business Analyst
Faculty