Sports Analytics, B.S

California Baptist University

Program Summary – Bachelor of Science in Sports Analytics (B.S. in Sports Analytics)

The Bachelor of Science in Sports Analytics program focuses on using data analysis techniques to enhance the performance and management of sports teams, athletes, and organizations. This program teaches students how to collect, analyze, and interpret large sets of data related to sports performance, game statistics, fan engagement, and business operations. With a combination of statistical methods, programming skills, and domain-specific knowledge of sports, graduates are equipped to make data-driven decisions that improve team strategies, optimize performance, and drive business success in the sports industry.

Key Program Features:

• Data Analytics Techniques – Students learn to use statistical models, data mining, machine learning, and other advanced techniques to analyze and interpret sports data.
• Sports Performance Analysis – Focus on understanding how to assess and improve athlete performance using data, including metrics related to fitness, skills, injury prevention, and recovery.
• Sports Business and Economics – The program also covers the business side of sports analytics, such as revenue generation, fan engagement, sponsorships, and marketing.
• Hands-on Experience – Students apply their learning to real-world scenarios by working with sports organizations, teams, and sponsors to analyze performance and business data.
• Technology Integration – Training in programming languages and software used for data analysis, such as Python, R, SQL, and sports-specific data platforms.

Key Areas of Study:

1. Introduction to Sports Analytics – Basic concepts of sports analytics, including data collection, processing, and visualization specific to sports.
2. Statistical Methods for Sports – Techniques for analyzing large datasets, including regression analysis, time-series analysis, and hypothesis testing.
3. Sports Data Management – Understanding how to organize and manage sports-related data, including performance statistics, player data, and business analytics.
4. Programming for Sports Analytics – Learning programming languages (such as Python, R, or SQL) to automate data processing and conduct complex analysis in sports contexts.
5. Game Strategy and Performance Metrics – Using data to evaluate team strategies, player performance, and game outcomes.
6. Sports Economics and Business – The role of data analytics in improving financial outcomes for sports organizations, sponsorship analysis, and fan engagement.
7. Advanced Sports Analytics Applications – Developing and applying complex models to predict outcomes, optimize player selection, and enhance team performance.
8. Ethics in Sports Data – Understanding the ethical implications of data collection, use, and sharing in the sports industry, including privacy concerns and fairness.

Career Opportunities:

Graduates of the B.S. in Sports Analytics program are prepared for careers in a variety of sports-related fields, such as:

• Sports Data Analyst – Analyzing player statistics, team performance, and game outcomes to provide insights and recommendations to coaches and managers.
• Sports Operations Manager – Using data to optimize operations, logistics, and strategies for sports teams and organizations.
• Sports Performance Analyst – Analyzing athlete performance data to improve training, prevent injuries, and optimize game strategies.
• Marketing and Sponsorship Analyst – Leveraging data to drive marketing strategies and measure the success of sponsorships and fan engagement efforts.
• Fan Engagement Specialist – Using data to create and implement strategies to enhance fan interaction, loyalty, and overall experience.
• Sports Economist – Analyzing market trends, ticket sales, sponsorship deals, and broadcasting rights to help sports organizations maximize revenue.
• Technology and Innovation Consultant – Working with sports organizations to incorporate new technologies and data analytics tools to improve performance and profitability.