Higher education students entry characteristics and students’ dropout

The dataset was created for the purpose of predicting the dropout rate at university by identifying and detecting students at high risk of dropping out, based on their entry characteristics or the registration data of enrolled students. The dataset was collected from LBTU study centre and includes 971 bachelor students information. Data set consists of 11 variables: gender, student study direction, status, dropout reasons, study time (in days and months), priority to study in the programme, finance source and student grades.