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David B. Falk College of Sport
Sport Analytics M.S. Online

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Turn Sports Data into Game-Changing Insights

Program Overview

Data and analytics are transforming how sports organizations evaluate performance, make strategic decisions and engage fans. The Sport Analytics Master of Science (M.S.) online from Syracuse University prepares professionals to apply advanced data science techniques to the thrilling world of sports.

Students develop expertise in statistical modeling, data visualization and programming while exploring how analytics influences both on-field performance and business operations across professional and collegiate sports. Offered through the David B. Falk College of Sport, the program equips graduates to help teams, leagues and sport businesses use data to gain a competitive advantage.

Program Details

  • 36-credit master's
  • Online, full-time
  • Asynchronous learning
  • Eight-week courses
  • Academic resources for your graduate education.

About the David B. Falk College of Sport

The David B. Falk College of Sport prepares students to lead and innovate across the global sport industry. Through interdisciplinary learning and faculty-mentored research, the college provides students with opportunities to explore fields such as sport analytics, sport management, exercise science and nutrition.

Falk College emphasizes applied learning and professional preparation, helping students develop the analytical, leadership and strategic skills needed for successful careers in sport and related industries.

What You'll Learn

Students develop the skills to:

  • Analyze complex sports data using statistical and econometric methods
  • Build predictive models to evaluate player performance and game strategy
  • Develop data visualization tools and dashboards
  • Use programming languages such as R and Python for sports analytics
  • Apply analytics to both team performance and sport business operations
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Earn your degree online from Syracuse University.

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Sport Analytics Curriculum

The sport analytics curriculum combines advanced data science techniques with sport industry applications. Students study statistical modeling, coding, econometrics and machine learning, while exploring how analytics supports decision-making across professional and collegiate sports.

Coursework includes applications of analytics to player evaluation, team performance, fan behavior, sports gambling and sport business strategy.

Sample Courses

  • Examine key statistical principles and visualization methods in Tableau while exploring the evolution of sports analytics, including the impact of the Moneyball hypothesis.

Experiential Learning

Graduate students are encouraged to gain experience by participating in extracurricular activities organized by Syracuse, including clubs and organizations that work with teams, leagues and companies that need analytical services. These experiences allow students to present findings to industry professionals and build practical experience applying analytics to real sports data.

While many of these clubs meet on-campus, the university will provide the support necessary for online students to seize the opportunity to apply their skills through projects and competitions that address real-world sports analytics challenges.

Experiential Learning

Career Outcomes

Graduates of the program may pursue careers including:

  • Sports data analyst
  • Performance analyst
  • Sports business analyst
  • Data scientist in sports
  • Fan engagement or marketing analyst
  • Sports betting or fantasy sports analyst

Sport analytics professionals work with teams, leagues, sports media companies, analytics firms and technology companies supporting the sports industry.

Admissions Requirements

Admissions requirements include:

  • Completed application
  • Transcripts
  • Resume or CV
  • Statement of purpose
  • Three letters of recommendation
  • The GRE is NOT required for admission

Note: A successfully completed undergraduate or graduate-level course in statistics or significant experience using statistics in a professional capacity and prior sport experience are preferred but not required to apply to this program.

Admissions Information

David B. Falk Application Deadlines

The online Sport Analytics M.S. program admits for the fall semester only, due to the sequencing of courses. While our priority deadline is February 15, we continue to review applications on a space available basis.

Priority Deadline
February 15
Fall Semester Deadline
June 1

Ready to get started?

Syracuse University has engaged Everspring, a leading provider of education and technology services, to support select aspects of program delivery.

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