This article shows the methodological experience using rubrics in three subjects of the Master's Degree in Data Science, at the Ricardo Palma University, during the non-presential classroom mode. These subjects are: Thesis Seminar I, II and III, belonging to the last three semesters. In this way, rubrics with appropriate criteria were proposed to evaluate the learning units of each subject, and thus finish the writing of the Thesis Project and the progress of the Thesis Draft. For each unit, the evaluation of the writing and presentation of the sections and chapters were carried out; likewise, the partial and total simulation was evaluated with the Data Set, and the verification of the percentage of similarity by using the Turnitin service. The three thesis seminar subjects were taught sequentially, where the students got an average final grade with a positive trend between 15.20 and 17.43, on a vigesimal scale.
