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

被引：2

作者：

Aerts, Marc ^{[1
]}

Molenberghs, Geert ^{[1
,2
]}

Thas, Olivier ^{[1
,3
,4
]}

机构：

[1] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, BE-3590 Hasselt, Belgium

[2] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat I BioSt, B-3000 Leuven, Belgium

[3] Univ Wollongong, Natl Inst Appl Stat Res Australia NIASRA, Keiraville, NSW 2500, Australia

[4] Univ Ghent, Dept Appl Math Comp Sci & Stat, B-9000 Ghent, Belgium

来源：

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 8, 2021 | 2021年 / 8卷

关键词：

computer science; curriculum; data science; education; graduate; interdisciplinary; statistics; ACTION PLAN; CURRICULUM;

D O I：

10.1146/annurev-statistics-040620-032820

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：25 / 39

页数：15

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