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Data Science Careers, Training, and HiringBuilding Data Programs

Data Science Careers, Training, and Hiring: Building Data Programs [Data Science degrees, programs, and initiatives are emerging at a rapid pace at universities and colleges in the U.S. and abroad. Data Science, however, is as much a practice as it is a discipline, raising the questions of whether and how Data Science should be treated in academia. Should it be its own major, department, or division at a university? And what are the foundational elements that comprise a degree in Data Science? Here, we discuss the institutional barriers to developing and implementing Data Science/Analytics programs, the role of faculty, and resources for curriculum. We also feature different models taken by top U.S. institutions for incorporating Data Science on campus, how to access data, as well as potential solutions to the common challenge of faculty burden. Lastly, we go through top recommendations produced by national forums, with hundreds of researchers, convening to discuss these topics.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Data Science Careers, Training, and HiringBuilding Data Programs

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Publisher
Springer International Publishing
Copyright
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
ISBN
978-3-030-22409-7
Pages
31 –51
DOI
10.1007/978-3-030-22407-3_3
Publisher site
See Chapter on Publisher Site

Abstract

[Data Science degrees, programs, and initiatives are emerging at a rapid pace at universities and colleges in the U.S. and abroad. Data Science, however, is as much a practice as it is a discipline, raising the questions of whether and how Data Science should be treated in academia. Should it be its own major, department, or division at a university? And what are the foundational elements that comprise a degree in Data Science? Here, we discuss the institutional barriers to developing and implementing Data Science/Analytics programs, the role of faculty, and resources for curriculum. We also feature different models taken by top U.S. institutions for incorporating Data Science on campus, how to access data, as well as potential solutions to the common challenge of faculty burden. Lastly, we go through top recommendations produced by national forums, with hundreds of researchers, convening to discuss these topics.]

Published: Aug 3, 2019

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