This course is an examination of analytical tools and techniques used in Sports Business. This course provides the groundwork for the fundamental principles and key methodologies that can be applied to any sports analytics problem. The course begins by outlining the significance of complementing human insight with quantitative methods in the analysis of everyday sports. We will delve into the quantitative aspects by taking a structured approach to the use of big data and develop a systematic observation strategy. Students will learn to identify critical parameters for different sports based on guidelines, understand how to analyze and interpret patterns applying various measurement techniques, conduct statistical analyses, quantify objective relationships in the data to meaningfully increase the predictive power of forecasting tools, model various what-if scenarios, and master the art of calculating odds. The course concludes with a simulation game that will allow students to put their learning into practice, drawing on the insights from this course. The structure of the course allows for the examination of analytics in four main areas: player performance measurement, in-game decision-making, player selection/team building, and general administration including marketing, pricing, contracts, stadium management, etc. Emphasis will be placed on how the application of analytics has improved each of these areas. Students will be responsible for weekly reading assignments, which will be the basis for class discussions. Homework assignments will determine the students¿ understanding of the analytic techniques discussed in class. Lastly, there will be a group project due at the end of the semester. Several classes will feature guest speakers with practical experience in the field of Sports Analytics.
Continuing Education Units (CEU) :