Sport Analytics Online M.S.

Transform the way sports teams and businesses make decisions using data science and modeling.

Aerial view of Crouse in the summer at Syracuse University

About this Program

The Sport Analytics M.S. online degree program gives you an advanced skillset in visualization, coding, and statistical modeling to excel in the growing field of data analytics in sport.

Work with data visualization and explore how analytics are used across different sports.
Gain coding skills needed to compete in the data science sphere, specifically as it relates to sports, using R and Python coding programs.
Model data using a wide range of methods, including linear regression, econometrics, and machine learning models and techniques.

Having mastered the technical skills, you’ll apply them to analytic applications in major sports such as football, basketball, baseball, and hockey, both on field and off, as well as the sports gambling industry and other aspects of sport business.

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Program Information

Degree Type

Master's

Outcome

Online M.S.

Modality

Fully Online

College or School

David B. Falk College of Sport and Human Dynamics

Career Path

David B. Falk College of Sport and Human Dynamics

Falk College academic degree programs focus on holistic health and wellbeing, human performance, and sport business enterprise. The college’s signature emphasis on experiential learning supports student success through intentional internship requirements, faculty-mentored research projects, immersion travel, and global study abroad. At every stage of their education, Falk College students engage in meaningful work to advance their disciplines and careers.

Explore the College

Curriculum

Courses cover visualization of data, coding in R and Python, linear regression and econometrics, and machine learning techniques. Specialized courses relate to sports gambling and daily fantasy, and analytics applications to the collective bargaining agreements of major sports leagues.

Sample courses:

SAL-601 – Introduction to Sport Analytics and Visualization
SAL-602 – Introduction to R for Sport Analytics
SAL-603 – Introduction to Python for Sport Analytics
SAL-604 – Linear Regression, Econometrics, and Machine Learning for Sport Analytics

Careers

Make Your Mark in an Emerging Field

Analytics are changing the way sports operate on many fronts. Data-driven decision-making is used in game planning and on-field strategy. Key metrics are used to place valuations on players’ salaries. Modeling of fan behavior helps to effectively price and maximize revenues as it relates to attendance, media deals, sponsorship, marketing, and other revenue sources to maximize value to the organization. In the M.S. program, you’ll gain advanced data analytics skills so you can have a major impact on sports teams and businesses.

Experiential Learning

Network, Learn, and Compete Nationally

While our clubs and organizations meet weekly and in-person on campus, graduate students still can participate in many of our projects and competitions. We work closely with several teams, leagues, and companies that need analytical services. Our students solve real-world dilemmas and present their findings to industry leaders. In addition, there are graduate sectors for many of the competitions that our undergraduate students enter. We encourage our graduate students to participate in these competitions, and we’ll provide the support needed to make you the best competitor.