2019-11-062019-11-062018Informacion Tecnologica; Vol. 29, Núm. 3; pp. 89-960716-8756https://hdl.handle.net/20.500.12585/8729The present research article proposes a method to classify University engineering programs, placing special attention to relations between the subjects of the curriculum and the 12 areas of knowledge established in the body of competencies published by the Institute of industrial and System Engineers (IIES). Techniques of unsupervised data analysis such as Principal Components Analysis (PCA) and cluster analysis were used for the proposed classification. Twenty-one programs, accredited by high quality in Industrial Engineering in Colombia, are used as units of study. The results show that factors such as international accreditation, size of the faculties of engineering and University profile, influence the grouping of the programs of study. The research allowed to classify three large main components and profiles of accredited programs. © 2018 Centro de Informacion Tecnologica. All Rights Reserved.Recurso electrónicoapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/article10.4067/S0718-07642018000300089ClusteringData miningEducationIndustrial engineeringPrincipal componentsApplication programsCluster analysisData miningEducationIndustrial engineeringIndustrial researchClusteringEngineering programInternational accreditationPrincipal componentsPrincipal components analysisSystem engineersUniversity programsUnsupervised dataPrincipal component analysisinfo:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 InternacionalUniversidad Tecnológica de BolívarRepositorio UTB