Identifying the Best Admission Criteria for Data Science Using Machine Learning

Utilization of analytics by a large array of industries has attracted many people from diverse academic backgrounds to pursue a degree in Analytics and Data Science. One of the challenges facing the admission committee over the past few years has been the selection of best criteria used for student admission. The objective of this study is to identify a set of rules based on previous admission decisions and achievement of admitted students to capture the characteristics of a successful admission. This study considers statistical and machine learning techniques to provide a better set of guidelines for future admission processes.