Abstract
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.
Advisor
Duffus, LuAnn
Second Advisor
Visa, Sofia
Department
Computer Science; Business Economics
Recommended Citation
Nguyen, Tin, "Optimizing Merit Scholarships for Enrollment Management at The College of Wooster" (2014). Senior Independent Study Theses. Paper 5932.
https://openworks.wooster.edu/independentstudy/5932
Publication Date
2014
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2014 Tin Nguyen