ada-k / universitystudentscompletionrate_survivalanalysis

Survival analysis of university completion. R(Survival Analysis), Python(EDA)

UniversityStudentsCompletionRate_SurvivalAnalysis

Survival analysis of university completion.

ABSTRACT

When a student joins the university, their wish is to complete their course on time together with their fellow classmates. Sometimes, this always doesn’t happen according to plan. There may be some hindrance factors that may get in the way. The main aim of this study is to compare the rate of enrollment to that of graduation in order to determine the delay rate of TUM students, given a specific study period. The covariates that will be used in this study are gender, faculty, source of finance that is whether a student was a government sponsored student or a self-sponsored student, family issues and academic issues (R.S.O, exam malpractice, missing marks). The project aims at determining the probability of a student graduating on time. The study will consider students who were enrolled in 2015 and were expected to graduate in 2019. Cox proportional hazard model will be used to analyze the data and to determine whether there is significant relationship between the covariates and the causeof delay and Python and R statistical packages will be used for data analysis and to obtain descriptive statistics and charts. The study will use secondary data obtained from the office of the Dean of students. This study will help the university to identify the major factors affecting efficient student learning and can help identify solutions to this problem