There is an imminent problem with the college education in Colombia, and this is related to the high percentage of dropouts; on addition, there are very few implemented strategies to stop the high percentages of desertion among the college population, due to the fact that only in the year 2023 was formally initiated the studies related to determine which are those conditions that conduct to these dropouts. But nevertheless, the reason why the students abandon their education is yet unknown, for it in this article use will be made of data mining, by which is intended to generate a Decision Tree model implementing the algorithm J48 using the tool WEKA in order to identify these causes. The article is organized in six chapters, the first chapter is the introduction, the second presents the objectives and literature review, the third describes the CRISP-DM methodology, the fourth presents the results, the fifth is a chapter that describes the predictive model for academic dropout, and finally, the last one presents the conclusions.