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Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What
Annual Review of Statistics and Its Application ( IF 7.4 ) Pub Date : 2021-03-08 , DOI: 10.1146/annurev-statistics-040620-032820
Marc Aerts 1 , Geert Molenberghs 1, 2 , Olivier Thas 1, 3, 4
Affiliation  

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.

中文翻译:


统计与数据科学研究生教育:为什么,何时,何地,谁以及什么

组织统计学和数据科学的研究生课程会引发很多问题,在提供多种选择的同时,提供了各种机会。统计学和数据科学领域的研究生课程的呼声是压倒性的。它与中学和中学后的其他(未来)学习计划有何契合?学术界数据科学的天然家园是什么?谁符合入职条件,谁不符合?在制定课程时,哪些战略选择不可避免地会发挥重要作用?我们就为什么,何时,何地,谁和什么分享我们的观点。

更新日期:2021-03-09
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