Data mining or Knowledge discovery (KDD) is extracting unknown (hidden) and useful knowledge from data. Data mining is widely used in many areas like retail, sales, ecommerce, remote sensing, bioinformatics etc. Student’s performance has become one of the most complex puzzle for universities and colleges in recent past with the tremendous growth. In this paper, authors deployed data mining techniques like classification, association rule, chi-square etc. for knowledge discovery. For this study, authors have used data set containing Approx. 180 MCA (post graduate) students results data of 3 colleges. Study found that one can apply data mining functionalities like Chi-square, Association rule and Lift in Education and discover areas of improvement.