Abstract
This work presents the design of a prediction model of the terminal efficiency of the Computer Engineering Degree Program, belonging to the Autonomous University of Tlaxcala. For the development of this work, the KDD (Knowledge Discovery from Databases) process was used, which provides a complete representation of the life cycle of a Data Mining project; and to obtain the prediction model, the data mining technique of linear regression was used. Personal and academic data from two generational cohorts of the educational program were used to adjust and validate the model. It was determined that it is necessary to develop a specific model for each semester, in order to identify the academic variables that have the greatest influence on whether or not the student can graduate from his or her career.
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