Análisis del rendimiento académico de los estudiantes de Ingeniería de la UPF utilizando Data Science

Barbarisi, Santiago

Análisis del rendimiento académico de los estudiantes de Ingeniería de la UPF utilizando Data Science

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Citation

Barbarisi, S. Análisis del rendimiento académico de los estudiantes de Ingeniería de la UPF utilizando Data Science. 2017. handle: http://hdl.handle.net/10230/32926

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Abstract

Now days Data Science offers new ways to achieve a better comprehension of this world, it helps us to take better decisions about our future reasoning about our pass and, as Harvard Business Review suggests, it is ‘the sexiest job of the 21st Century’. In this Bachelor’s Degree Final Project we explore the patterns on the achievements of the Engineering’s students from the UPF, from two different perspectives: one analysing the students and the features of the enrolment, and another where we study how correlate are the subjects from the first period and the high rates of University drop out. The project is significant to understand how the enrolment features of students, such as the path of access, the center of origin or the degree they perform, affect the results they obtain and their academic career at the University. At the same time, we will see how and why the dropout occurred during the last years, to establish how the UPF has reacted and managed these cases, and thus offer guidelines to reduce these events.