The main objective of this paper is to use data mining methodologies to study students‟ performance in the courses. Data mining provides many tasks that could be used to study the student performance. In this research, the classification task is used to evaluate student‟s performance and as there are many approaches that are used for data classification, the decision tree method is used here. Information‟s like Attendance, Class test, Seminar and Assignment marks were collected from the student‟s management system, to predict the performance at the end of the semester. This paper investigates the accuracy of Decision tree techniques for predicting student performance.