Finding a Niche and Developing an Undergraduate Data Analytics Course

Abstract

In this research to practice work in progress paper, the authors report their experience in developing a data analytics course for an undergraduate information technology program. Data analytics, as an emerging field, is increasingly making an impact in the engineering domain and reshaping many other traditional disciplines. To create a data analytics course that is both instructionally sound and effective, the authors anchored their course development on the theories of learner-centered design and problem-based learning to ensure that the course revolves around student needs and interests, and the skills they’ve learned are transferable. The backward design model was incorporated as a framework to guide the development process to ensure the integrity of the course and that all learning outcomes are measured accordingly. Principles of universal design for learning were also being considered and applied during the development process so students can receive an optimum learning experience. Finally, the developed course will be peer-reviewed using a rubric set forth by the college to ensure the overall quality before it is offered.