Enrollment management is a critical process to The College of Wooster as it affects the class size and operating budget of the College. This thesis uses economic and computer science techniques to optimize the use of merit scholarships at the college to improve enrollment management. Economic theories of consumer behavior and price discrimination are used to model the enrollment process. Logistic regression is performed to estimate the impact of changes in scholarships on enrollment yield and tuition revenue. Data mining algorithms for classification, clustering and association rules are implemented to find empirical enrollment patterns. Results of data mining are helpful to analyze the trends in enrollment behavior and the significance of relevant factors.


Duffus, LuAnn

Second Advisor

Visa, Sofia


Computer Science; Business Economics

Publication Date


Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis



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