Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/34112
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dc.contributor.authorAERTS, Marc-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorTHAS, Olivier-
dc.date.accessioned2021-05-27T15:03:33Z-
dc.date.available2021-05-27T15:03:33Z-
dc.date.issued2021-
dc.date.submitted2021-05-04T12:29:33Z-
dc.identifier.citationANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, 8 (1) , p. 25 -39-
dc.identifier.urihttp://hdl.handle.net/1942/34112-
dc.description.abstractOrganizing 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.-
dc.language.isoen-
dc.publisherANNUAL REVIEWS-
dc.rights2021 by Annual Reviews. All rights reserved-
dc.subject.othercomputer science-
dc.subject.othercurriculum-
dc.subject.otherdata science-
dc.subject.othereducation-
dc.subject.othergraduate-
dc.subject.otherinterdisciplinary-
dc.subject.otherstatistics-
dc.titleGraduate Education in Statistics and Data Science: The Why, When, Where, Who, and What-
dc.typeJournal Contribution-
dc.identifier.epage39-
dc.identifier.issue1-
dc.identifier.spage25-
dc.identifier.volume8-
local.format.pages15-
local.bibliographicCitation.jcatA1-
dc.description.notesAerts, M (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium.-
dc.description.notesmarc.aerts@uhasselt.be-
dc.description.otherAerts, M (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium. marc.aerts@uhasselt.be-
local.publisher.place4139 EL CAMINO WAY, PO BOX 10139, PALO ALTO, CA 94303-0897 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1146/annurev-statistics-040620-032820-
dc.identifier.isiWOS:000627718500002-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Aerts, Marc; Molenberghs, Geert; Thas, Olivier] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium.-
local.description.affiliation[Molenberghs, Geert] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat I BioSt, B-3000 Leuven, Belgium.-
local.description.affiliation[Thas, Olivier] Univ Wollongong, Natl Inst Appl Stat Res Australia NIASRA, Keiraville, NSW 2500, Australia.-
local.description.affiliation[Thas, Olivier] Univ Ghent, Dept Appl Math Comp Sci & Stat, B-9000 Ghent, Belgium.-
local.uhasselt.internationalyes-
item.contributorAERTS, Marc-
item.contributorMOLENBERGHS, Geert-
item.contributorTHAS, Olivier-
item.validationecoom 2022-
item.fullcitationAERTS, Marc; MOLENBERGHS, Geert & THAS, Olivier (2021) Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What. In: ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, 8 (1) , p. 25 -39.-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
crisitem.journal.issn2326-8298-
crisitem.journal.eissn2326-831X-
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