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.
Why this degree makes a difference in society today…tomorrow…
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 sport teams and businesses.
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.
- 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
The Sport Analytics M.S. degree gives you access to leadership roles in upper management. The growing international nature of sports competition and business means you will have career opportunities in many countries around the world working in sport analytics on both business and player levels. Ten-year occupational projections indicate that those with a degree or certificate in sport analytics are likely to find ample employment opportunities. Common job titles include:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Business Analytics Analyst
- Product Analyst
- Strategy Analyst (consumer/business)
- Quantitative Analyst
- Analyst, Baseball/Football/Basketball Operations
- Analyst, Analytics and Insights
- CRM Analyst/Coordinator
- Sports Science Analyst
Students with undergraduate degrees in any field are welcome to apply, but some key undergraduate degrees that would directly prepare for the M.S. program in sport analytics include any of the mathematics disciplines, computer science, economics, finance, business, and sport management.
The application requirements for the Sport Analytics M.S. include three letters of recommendation and your transcript, personal statement, and resume. In general, a GPA of 3.0 is required for continuation of graduate study, however no one factor determines admission. For more information and to apply, visit our admissions page.
For additional admissions information, contact the Office of Admissions at email@example.com, or fill out our online form: