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Publication

Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What

Journal Contribution - Journal Article

Organizing a graduate program in statistics and data science raises many questions, offering a variety of opportunities while presenting a multitude of choices. The call for graduate programs in statistics and data science is overwhelming. How does it align with other (future) study programs at the secondary and postsecondary levels? What could or should be the natural home for data science in academia? Who meets the entry criteria, and who does not? Which strategic choices inevitably play a prominent role when developing a curriculum? We share our views on the why, when, where, who and what.
Journal: Annual Review of Statistics and Its Application
ISSN: 2326-8298
Issue: 1
Volume: 8
Pages: 25 - 39
Publication year:2021
Keywords:computer science, curriculum, data science, education, graduate, interdisciplinary, statistics
BOF-keylabel:yes
IOF-keylabel:yes
BOF-publication weight:10
Authors:International
Authors from:Higher Education
Accessibility:Open