Enter into the rapidly growing field of sport analytics with a Certificate of Advanced Study (CAS) in sport analytics. The 12-credit program explores different types of statistics used for analysis of player/team performance and business performance across different sports and leagues and become proficient in both visualizing and analyzing sport data. Coursework covers specific focus areas of sport analytics statistics and methods, visualization tools, programming in R and Python, linear regression and econometric techniques, and machine learning tools. Students develop advanced data skills, critical thinking, and model building skills in both econometrics and machine learning, preparing them to work for sports teams and leagues as well as companies connected to sports, such as media networks, advertisers, sponsors and more. With sports growing across the globe and the many international partnerships formed in the industry, graduates have opportunities analytics careers internationally. This certificate is a perfect fit for current professionals looking to add player and sport business analytics to their resume. The asynchronous online program allows students anywhere in the world to take advantage of a Syracuse University education. Whether your degree is in sport management, business, economics, statistics, or something else, this program can advance your sport analytics career path.
Why this degree makes a difference in society today…tomorrow…
Analytics is a growing and important subject to many industries, including sports. Falk College’s CAS in sport analytics helps students gain analytics skills that are useful to, and greatly sought after, by employers. The U.S. Bureau of Labor Statistics projects on-going higher than average growth in employment in several of the top occupations related to sports analytics, making this sport analytics certificate specifically of interest to early career, bachelor-level professionals to meet growing employer demand.
The CAS in sport analytics has four courses (12 credits total), each highlighting a specific aspect of the necessary employment qualifications, including visualization, coding and basic data modeling. Program faculty are leaders in the fields of sport analytics, economics, and data visualization and modeling who have the mathematical and analytical backgrounds—and industry connections—that advantage students in their classes and beyond. Each eight-week course is delivered asynchronously online and includes:
- 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
Through the certificate program, students gain necessary skills to compete in the growing field of sport analytics in a relatively short period of time, complementing skillsets they already have from majors and work experience in fields such as sport management, business, computer science and information technology, among others. The growing international nature of sports competition and business will allow graduates of our program to operate 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
For admission, an applicant must hold a baccalaureate degree from a regionally accredited U.S. institution or a tertiary degree that is deemed to be comparable to a 4-year’s bachelor degree from a regionally accredited U.S. institution. Qualified applicants should have successfully completed an undergraduate or graduate-level course in statistics or show significant experience using statistics in a professional capacity. Applications will be submitted online and will include:
- Official transcripts from each institution attended.
- GPA and Test Scores – A GPA of 3.0 on a 4.0 scale in undergraduate studies is required.
GRE or GMAT are not required but could be submitted (if completed) on the student’s behalf.
For additional admissions information, contact the Office of Admissions at firstname.lastname@example.org, or fill out our online form: