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Benchmarking Academic Programs in Business Analytics

Authors: Gorman, Michael F.; Klimberg, Ronald K.;

Benchmarking Academic Programs in Business Analytics

Abstract

Interest in business analytics (BA) is currently popular. Professional consultancies and software houses are both touting it as the next wave in business, claiming that the need for BA skills is large and growing. Universities are beginning to respond by offering undergraduate majors and minors, Master of Science degrees, certificates, and concentrations within their Master of Business Administration programs. But what subjects are being covered in these programs? We surveyed some of the largest, most established, and best-known programs (predominantly in the United States, but some international) and interviewed representatives of these programs to better understand the requirements for students entering, the required and elective course topics covered, and job opportunities for graduates. In this article, we summarize our findings and provide some conclusions about analytics programs, including the current landscape, suggestions for development, and our vision for the future. We believe this report is useful to institutions that offer analytics programs, to those considering such offerings, and to the employers who are hiring analytics professionals. These employers need to better understand the skills that professionals are acquiring. Finally, it should help prospective students who seek to understand the analytics programs being offered to find the best match for their skills and interests.

Country
United States
Related Organizations
Keywords

Management Sciences and Quantitative Methods, Databases and Information Systems, and Operations, Operations and Supply Chain Management, Other Computer Sciences, Business Administration, Management, Management Information Systems

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    49
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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