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Title: | Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What | Authors: | AERTS, Marc MOLENBERGHS, Geert THAS, Olivier |
Issue Date: | 2021 | Publisher: | ANNUAL REVIEWS | Source: | ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, 8 (1) , p. 25 -39 | Abstract: | 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. | Notes: | Aerts, M (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium. marc.aerts@uhasselt.be |
Other: | Aerts, M (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium. marc.aerts@uhasselt.be | Keywords: | computer science;curriculum;data science;education;graduate;interdisciplinary;statistics | Document URI: | http://hdl.handle.net/1942/34112 | ISSN: | 2326-8298 | e-ISSN: | 2326-831X | DOI: | 10.1146/annurev-statistics-040620-032820 | ISI #: | WOS:000627718500002 | Rights: | 2021 by Annual Reviews. All rights reserved | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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ARSIA.pdf | Peer-reviewed author version | 122.94 kB | Adobe PDF | View/Open |
Graduate Education in Statistics and Data Science_ The Why, When, Where, Who, and What.pdf Restricted Access | Published version | 298.75 kB | Adobe PDF | View/Open Request a copy |
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