Statistics have always been part of sports. But the digital age has altered the playing field, as organizations seek out those with the skills to use statistics as a tool for success.
Combine sports marketing skills with the analysis and management of data when you earn a master’s in Applied Data Science with a specialization in Sports Analytics at IUPUI.
Analytics is a crucial part of decision-making in amateur and professional athletics. Teams rely on those with the knowledge to interpret data and relate it to the world of athletics.
Indianapolis boasts 10 professional sports teams. The city is home to the National Collegiate Athletic Association (NCAA), the National Federation of State High School Associations, and is widely considered the Capitol of Amateur Sports. By teaming up, IU’s Schools of Physical Education and Tourism Management and Informatics and Computing draw on a unique mix of resources to offer an M.S. and B.S./M.S. in this exciting field.
Sports organizations need analytics experts who can turn data about their customers and teams into revenue-generating strategies.
Students who earn a Master of Science in Applied Data Science with a specialization in Sports Analytics learn core competencies in data analysis, data management and infrastructure, and client–server application development, and ethical and professional management of informatics projects. Earn additional competencies in sports sales, the management of massive, high-throughput data stores, cloud computing, and the data life cycle.
By earning this degree, you’ll have a combination of skills in sports sales, marketing, sabermetrics, and analytics that can lead to positions such as:
Sports Analytics students complete 10 courses for a total of 30 credit hours.
Six courses are required:
Four additional courses are selected from the following list:
Sample plans of study are provided below for reference.
Students will demonstrate competency in data analytics.
Students will demonstrate competency in data management, infrastructure, and the data science lifecycle.
Students will demonstrate competency in client–server application development.
Students will demonstrate competency in the management of massive, high-throughput data stores, and cloud computing.
Students will demonstrate competency in data visualization.