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An Online Graduate Certificate Credential Program at the University of Arkansas

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Reshaping Society through Analytics, Collaboration, and Decision Support

Part of the book series: Annals of Information Systems ((AOIS,volume 18))

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Abstract

Business Analytics and Big Data have become a very popular topics in recent years. Many universities are gearing up to meet the reported demand people with these skills. This paper shares background, principles, and processes in the development of an online Business Analytics Graduate Certificate Credential program consisting of four graduate courses (each three semester hours). Innovative use of technology is incorporated into all four of the courses to ensure consistency and quality content across courses. The four courses are (1) IT Toolkit – designed to level students (especially those students who do not have an adequate IT background), (2) Decision Support and Analytics – an introduction to statistical analytics with a focus on what the data is telling us, (3) Database Management Systems – a focus on sourcing, preparing, storing and retrieval for data and (4) Business Intelligence – a focus on the discovery of knowledge from data and model development using data mining including social media. Included are the efforts, activities, software, hardware, concepts, teaching philosophy, and desired outcomes for the graduate credential certificate program. The paper should be very valuable to all those teaching or planning to teach in the Business Analytics area.

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Correspondence to Timothy Paul Cronan .

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Appendix I: Course Extracts and Samples

Appendix I: Course Extracts and Samples

  • Standardized Content Areas:

figure afigure a
  • Common “To Do” List:

figure bfigure b
  • Measurable Learning Objectives:

figure cfigure c
  • Assignments designed to meet and measure Learning Objectives:

figure dfigure d

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Cronan, T.P., Douglas, D.E., Mullins, J. (2015). An Online Graduate Certificate Credential Program at the University of Arkansas. In: Iyer, L.S., Power, D.J. (eds) Reshaping Society through Analytics, Collaboration, and Decision Support. Annals of Information Systems, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-319-11575-7_16

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