Title:	ONLINE MS IN BUSINESS ANALYTICS BEST PRACTICES AND BEYOND
Author(s):	Rose Sebastianelli and Nabil Tamimi
ISBN:	978-989-8704-51-1
Editors:	Miguel Baptista Nunes, Pedro Isaías, Tomayess Issa and Theodora Issa
Year:	2023
Edition:	Single
Keywords:	Business Analytics, Benchmarking, Admissions, Student Engagement, Asynchronous Learning
Type:	Short
First Page:	210
Last Page:	214
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	The demand for talent in analytics has significantly outpaced supply, prompting institutions of higher learning to develop related curricula to address this unmet market need. One degree offering that has proliferated is the online Master of Science (MS) degree in business analytics. Unlike the more general MBA with a concentration in analytics, this specialized master's degree usually includes advanced coursework in areas related to the three subject area domains (descriptive, predictive, and prescriptive analytics). These types of courses, such as statistical modeling, optimization, and computer programming, involve technical and quantitative skills that can pose unique challenges in an asynchronous online learning environment. Moreover, with the explosive growth in job opportunities, prospective students may be drawn to the MS in business analytics without understanding fully the advanced nature of the curriculum or the prerequisite knowledge needed to succeed. With the goal of better positioning prospective students for success in the MS in business analytics, we approach the issue in two different ways. First, we benchmark the top ranked online MS business analytics programs in the US to uncover best practices with respect to curriculum as well as the online application and admissions screening process. Second, we consider strategies for increasing student engagement in asynchronous online learning environments suitable for use in advanced online business analytics courses.
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