Skip to main content

Data Science for Undergraduates: Opportunities and Options

View Cover

Prepublication

Data Science for Undergraduates

Opportunities and Options (2018)
Purchase Options
Overview

Contributors

Description

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent.

Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Topics

Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. https://doi.org/10.17226/25104.

Import this citation to:

Publication Info

107 pages | 6 x 9
Paperback
ISBN: 978-0-309-47559-4
DOI: https://doi.org/10.17226/25104
Contents
Resources

Links

Videos

Preparing Undergraduates for a Data-Driven Workplace

Highlights from the report, Data Science for Undergraduates: Opportunities and Options.

Public Briefing Video

At the request of the National Science Foundation, the National Academies of Sciences, Engineering, and Medicine organized a study to explore what data science skills are essential for undergraduates and how academic institutions should structure their data science education programs. During this webinar, study co-chairs Laura Haas and Alfred Hero discuss the report's findings and recommendations, followed by a question and answer session with webinar participants.

Rights

Copyright Information

The National Academies Press and the Transportation Research Board have partnered with Copyright Clearance Center to offer a variety of options for reusing our content. You may request permission to:

  • Republish or display in another publication, presentation, or other media
  • Use in print or electronic course materials and dissertations
  • Share electronically via secure intranet or extranet
  • And more

For most Academic and Educational uses no royalties will be charged although you are required to obtain a license and comply with the license terms and conditions.

Click here to obtain permission for Data Science for Undergraduates: Opportunities and Options.

Translation and Other Rights

For information on how to request permission to translate our work and for any other rights related query please click here.

Copyright.com Customer Service

For questions about using the Copyright.com service, please contact:

Copyright Clearance Center
22 Rosewood Drive
Danvers, MA 01923
Tel (toll free): 855/239-3415 (select option 1)
E-mail: info@copyright.com
Web: https://www.copyright.com
Stats

Loading stats for Data Science for Undergraduates: Opportunities and Options...