The Promotion of Graduate Programs through Clustering Prospective Students

TitleThe Promotion of Graduate Programs through Clustering Prospective Students
Publication TypeJournal Article
Year of Publication2019
AuthorsCroda, R. M. C., D. E. G. Romero, and F. - R. Castillo-Villar
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
IssueSpecial Issue on Use Cases of Artificial Intelligence, Digital Marketing and Neuroscience
Date Published09/2019

The promotion of academic programs, particularly at graduate levels, emerges as a response to market changes. In general, graduate programs are not a first order necessity which makes necessary the right promotion of such programs guarantee the attraction of prospective students, which enroll in some of them, which is essential for the financial sustainability of universities. Notably, the last one is a crucial problem for private universities. In this paper, we analyze the prospective students that enroll in a private to design better promotion strategies by using on data gathered by online sources. Specifically, we use clustering techniques to define marketing strategies based on segments of students. We find that age and city are crucial to promoting graduate programs while marital status and sex does not impact the decision of students in the university that we analyze.

KeywordsClustering, Decision-level, Machine Learning
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