Predicting the Admission into Medical Studies in Germany: A Data Mining approach. Open Access at KIT

In Germany, the placement into medical studies programs is highly competitive. Even for excellent applicants success is uncertain. Tackling this uncertainty, the aim of this paper is to investigate the success of an application. Thus applicant data in the time from 2009 to 2012 was analyzed. The characteristics of the statistical patterns lead us to simple recommendations how to alter an application in order to succeed. Our results indicate that Data Mining can outperform personal predictions.