Recently, the financial crisis of local universities due to the decrease in the number of students is emerging. The decrease in the number of students is due to a sharp drop in the enrollment rate for new students and an increase in the dropout rate. A university's financial income is highly dependent on tuition income, so a decrease in the number of students leads to a financial crisis. To overcome this, local universities are trying to prevent the dropout of students, but practical measures and research are still lacking. In particular, existing research on dropout focuses on identifying the determinants of all dropout students, so more specific research is needed on the major types and characteristics of dropout. This is because the characteristics of students dropping out for the purpose of transfer and those who drop out due to poor academic performance are different, and countermeasures must be different accordingly. Therefore, this study analyzed the main types and characteristics of dropouts targeting freshmen(22,415) of local private universities in the last 10 years (2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020). First, by applying the heuristic mining algorithm of process mining, the major academic patterns of dropout students were visualized and analyzed. In addition, based on the analysis results, the main dropout types were divided into 5 types: 1)Immediate dropout type 2)Retake preparation type, 3)Transfer preparation type, 4)Academic abandonment type, 5)Long-term leave of absence type. It was confirmed that there was a difference in average grades, average enrollmet period, and number of academic warnings for each type. Unlike previous studies, these research results suggest that it is possible to establish a customized strategy for each type of dropout. In the future, it is expected that follow-up studies will be conducted on the detailed characteristics of each dropout type and whether the dropout rate is reduced.