Abstract: As a phenomenon of interest, impact, and import, there is little doubt that the pervasive expansion of data is upon us as Information Systems educators. Concerns and topics such as Data Science, Data Analytics, Machine Learning, Business Analytics, and Business Intelligence are now ubiquitous and often situated as being the “next big thing.” Educators and practitioners who identify and resonate with information systems, as a discipline, are watching these developments with interest. With data being both input and output to so many concerns that intersect with the information systems discipline, several themes emerge when considering what curriculum and pedagogy are appropriate. The role, position, location, and shape of data science topics are considered. Curricular approaches are also discussed with an eye to breadth and depth. Fundamental and existential questions are raised concerning the nature of data science and what role the Information Systems discipline can play. We also discuss evidence from cases one involves a student business analytics competition and the other is researching a topic to offer insights as to how information systems knowledge areas can appropriate data science as an integral component of many competencies that are already considering solidly within the canon of IS topics.
Keywords: IS Curriculum, data science, data analytics, Machine Learning, Business Analytics
Download this article: ISEDJ - V15 N5 Page 22.pdf
Recommended Citation: Jafar, M. J., Babb, J. S., Abdullat, A. (2017). Emergence of Data Analytics in the Information Systems Curriculum. Information Systems Education Journal, 15(5) pp 22-36. http://isedj.org/2017-15/ ISSN: 1545-679X. (A preliminary version appears in The Proceedings of EDSIG 2016)