[目的]在调查分析全球数据科学课程建设现状的基础上,提出数据科学课程的共性特点、主要挑战及解决对策。[方法]采用实证研究方法和内容分析方法调查分析国内外数据科学课程的建设现状、成功经验与存在问题。[结果]提炼出全球数据科学课程的共性以及数据科学与其他相关课程之间的差异性。[局限]对数据科学人才培养的讨论主要聚焦于课程建设层面,而对专业层面的讨论不多。[结论]本文提出数据科学课程建设中的10个核心问题及其解决方案。
[Objective] This paper identifies the common features of existing Data Science curriculums around the world. It also addresses the main challenges facing these courses as well as possible solutions. [Methods] We conducted an empirical study with the help of text analysis techniques to examine the data science curriculums from China and abroad. [Results] We found common features of the retrieved curriculums and the differences between them and other related courses. [Limitations] Our study focused on the curriculum issues, therefore, more research is needed to discuss data science as a discipline. [Conclusions] This paper addresses the top ten key challenges facing data science curriculum and then proposes some solutions.