We discussed the discrete-time survival model and applied it to the study of which factors are associated with student dropouts at a private university in Lima, Perú. We studied 31, 892 incoming students enrolled between March 2002 and December 2012 in all the undergraduate programs at the University. The analysis include the estimation using the Kaplan-Meier estimator and a parametric model using the Cox proportional hazards regression. During this period, cumulative probability of drop out after five years was 21.6%. By consequence probability of survive was 78.4% [95% CI: 77.7% – 79.1%]. We selected a group of variables in order to explain the methodology of the project and found that factors associated with student dropout were the area of study and the type of residence. We found many interesting behavior relations, showed in section Results, between groups of students analyzing the information by area, type of high school and type of residence.