Title: A framework for teaching an undergraduate data analytics class

Authors: David R. Firth; Jason Triche; David J. Lucus

Addresses: College of Business, University of Montana, Missoula, MT 59812, USA ' College of Business, University of Montana, Missoula, MT 59812, USA ' Department of ISQS, Rawls College of Business, Texas Tech University, Lubbock, TX 79409-2101, USA

Abstract: The explosive growth of data analytics has led to a large demand for analytical skills which is outstripping the supply of this skillset. Business schools across the world are responding to this challenge by offering graduate and undergraduate programs in data analytics. There is a growing body of literature covering the graduate level programs, but very little literature covers the undergraduate courses. This article covers the basic topics, themes and universal issues in teaching the undergraduate introduction to the data analytics course. We provide an over-arching framework on how to deliver an introduction course. We examine three different introduction classes at three AACSB accredited schools. We conclude with common issues, mitigation plans, and lessons learned.

Keywords: introduction to data analytics; undergraduate data analytics.

DOI: 10.1504/IJIOME.2021.114719

International Journal of Information and Operations Management Education, 2021 Vol.7 No.1, pp.27 - 44

Received: 22 Jun 2019
Accepted: 25 Nov 2019

Published online: 04 May 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article