This paper proposes a methodology to formulate a Model of Data Envelopment Analysis (DEA) to evaluate the efficiency of Industrial Engineering careers in Peru with a sustainable development approach.This study comprises two stages, the first one corresponds to the identification of input and output variables, based on other DEA studies applied in higher education, revision of criteria used in university ranking´s, SUNEDU and ABET. In a second stage, three models are proposed whose application is restricted to the availability of data and information.  

Este documento propone una metodología para formular un Modelo de Análisis Envolvente de Datos (DEA) para evaluar la eficiencia de carreras de Ingeniería Industrial en el Perú con enfoque de desarrollo sostenible. Este estudio comprende dos etapas, la primera corresponde a la identificación de variables de entradas y de salidas, a partir de otros estudios DEA aplicados en la educación superior, revisión de criterios utilizados en ranking de universidades, SUNEDU y ABET. En una segunda etapa, se propone tres modelos cuya aplicación se restringe a la disponibilidad de datos e información.

This paper proposes a methodology to formulate a Model of Data Envelopment Analysis (DEA) to evaluate the efficiency of Industrial Engineering careers in Peru with a sustainable development approach.This study comprises two stages, the first one corresponds to the identification of input and output variables, based on other DEA studies applied in higher education, revision of criteria used in university ranking´s, SUNEDU and ABET. In a second stage, three models are proposed whose application is restricted to the availability of data and information.