Abstract: The main objective of any higher educational institution is to impart quality education. One way to reach the highest level of quality in higher education systems is by improving the decision making procedures on various processes such as assessment, evaluation, counseling and so on which requires knowledge. The knowledge is hidden among the educational data set and it is extractable through data mining technology. This paper is designed to present and justify the capabilities of data mining in the context of higher education by offering a data mining model for higher educational system in the colleges. It presents an approach to classifying students in order to predict their final grade based on certain features extracted from educational data bases. It helps earlier in identifying the dropouts and students who are below average and allow the teacher to provide appropriate counseling/advising in appropriate time.