1932

Abstract

The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science.

Loading

Article metrics loading...

/content/journals/10.1146/annurev-statistics-060116-053930
2017-03-07
2024-07-14
Loading full text...

Full text loading...

/deliver/fulltext/statistics/4/1/annurev-statistics-060116-053930.html?itemId=/content/journals/10.1146/annurev-statistics-060116-053930&mimeType=html&fmt=ahah

Literature Cited

  1. ACM/IEEE (Assoc. Comput. Mach./Inst. Electr. Electron. Eng.) 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science New York: ACM https://www.acm.org/education/CS2013-final-report.pdf [Google Scholar]
  2. ASA (Am. Stat. Assoc.) 2002. Curriculum guidelines for bachelor of arts degrees in statistical science. J. Stat. Educ. 10:2 http://ww2.amstat.org/publications/jse/v10n2/tarpey.html [Google Scholar]
  3. ASA (Am. Stat. Assoc.) 2014a. Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society Arlington, VA: ASA http://www.amstat.org/asa/files/pdfs/POL-BigDataStatisticsJune2014.pdf [Google Scholar]
  4. ASA (Am. Stat. Assoc.) 2014b. Curriculum Guidelines for Undergraduate Programs in Statistical Science Alexandria, VA: ASA http://www.amstat.org/education/pdfs/guidelines2014-11-15.pdf [Google Scholar]
  5. Breiman L. 2001. Statistical modeling: the two cultures. Stat. Sci. 16:3199–231 [Google Scholar]
  6. Cassel B, Topi H. 2015. Strengthening Data Science Education Through Collaboration. Rep. on Workshop on Data Science Education Funded by the Natl. Sci. Found., Oct. 3–5, Arlington, VA [Google Scholar]
  7. Donoho D. 2015. 50 Years of Data Science Presented at Tukey Centennial Worksh., Princeton, NJ, Sept. 18 [Google Scholar]
  8. Horton NJ, Hardin JS. 2015. Teaching the next generation of statistics students to “think with data”: special issue on statistics and the undergraduate curriculum. Am. Stat. 69:259–65 [Google Scholar]
  9. MAA (Math. Assoc. Am.) 2004. Undergraduate Programs and Courses in the Mathematical Sciences: CUPM Curriculum Guide 2004. Washington, DC: MAA http://www.maa.org/programs/faculty-and-departments/curriculum-department-guidelines-recommendations/cupm/cupm-guide-2004 [Google Scholar]
  10. MAA (Math. Assoc. Am.) 2015. 2015 CUPM Curriculum Guide to Majors in the Mathematical Sciences. Washington, DC: MAA http://www.maa.org/sites/default/files/pdf/CUPM/pdf/CUPMguiderint.pdf [Google Scholar]
  11. McKinsey Global Inst 2011. Big Data: The Next Frontier for Innovation, Competition, and Productivity New York: McKinsey & Co http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation [Google Scholar]
  12. NSF (Natl. Sci. Found.) 2014. Data Science at NSF. Draft Report of StatSNSF Committee: Revisions Since January MPSAC Meeting. April https://www.nsf.gov/attachments/130849/public/Stodden-StatsNSF.pdf [Google Scholar]
  13. Shron M. 2014. Thinking with Data: How to Turn Information into Insights Sebastopol, CA: O'Reilly Media Inc. [Google Scholar]
  14. Wild CJ, Pfannkuch M. 1999. Statistical thinking in empirical enquiry. Int. Stat. Rev. 67:3223–65 [Google Scholar]
  15. Wilkinson L. 2008. The future of statistical computing. Technometrics 50:4418–35 [Google Scholar]
  16. Wing J. 2006. Computational thinking. Comm. ACM 49:333–35 [Google Scholar]
/content/journals/10.1146/annurev-statistics-060116-053930
Loading
/content/journals/10.1146/annurev-statistics-060116-053930
Loading

Data & Media loading...

Supplementary Data

  • Article Type: Review Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error