The goal of this paper is to determine the relationship of civil engineering graduates’ first year to fourth year grade point average per semester to their licensure examination performance. The study’s relevance was centered on civil engineering students taking the licensure examination from 2013 to 2018. Thegoal of the project is to determine and improvethe passing rate for civil engineer license, as well as to investigate the factors that influence the passing rate in terms of the participants per semester GPA from first to fourth year. It is proved that the per semester grade point average does not have an effect to the licensure performance of the civil engineering graduates. Those graduates that has the highest-grade point average also has the highest passing rates but it is not proved in all instances that the two variables have a relationship. The best classifier is identified in using Waikato Environment for Knowledge Analysis (WEKA) as a data mining tool. It is the MultiClassClassifier of meta that has an 80% of correct classified instances and takes 0.01 seconds to build the model.