Using neural networks to predict MBA student success.(Master of Business Administration) From: College Student Journal | Date: March 1, 2004| Author: Naik, Bijayananda; Ragothaman, Srinivasan | COPYRIGHT 2004 Project Innovation (Alabama). This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan.  All inquiries regarding rights should be directed to the Gale Group.Copyright information

Predicting MBA student performance for admission decisions is crucial for educational institutions. This paper evaluates the ability of three different models--neural networks, logit, and probit to predict MBA student performance in graduate programs. The neural network technique was used to classify applicants into successful and marginal student pools based on undergraduate GPA, GMAT scores, undergraduate major, age and other relevant data. The results of this study show that the...