Quality sleep is predominantly considered as a significant aspect of our day today activity. Management students are constantly buffeted with challenging tasks as a part of their ongoing pedagogy. Often there are instances wherein the sleep is distorted due to few unprecedented activities. The research work makes an attempt, through in-depth review of literature in understanding the various antecedents that can to be considered as disturbance for quality of sleep. The internal consistency of the questionnaire is assessed through test of reliability. Hypothesis testing is computed in understanding the differences of opinion if any through parametric tests. The dimensions are framed using exploratory and confirmatory factor analysis. The attributes are collapsed into six different constructs through dimension reduction technique using R Programming. The influence of the independent attributes on the aspect of obstructive sleep is assessed through multivariate regression analysis (Structural Equation Model) using AMOS. Off all the antecedents the attributes confining the dimension of lifestyle and health are identified to be of high relevance. The stance is further substantiated through formulation of decision tree model.