This paper illustrates analysis of longitudinal data on students’ academic performance using GEE (Generalize Estimation Equations) under various working correlation assumptions. Many factors account for students’ academic performance in the fulcrum of all levels of education. Hence, any variable that triggers the academic performance of students evoke the awareness of all. The aim of this thesis is to analyze academic performance using application of Generalized Estimating Equation (GEE) Models under various working correlation assumptions. There are various statistical and mathematical models employed in the analyses of students’ academic performance in different level of schools. In this paper, we formulate the Generalized Estimating Equation (GEE) model approach under various correlation assumptions to analyze the probable