大数据 ›› 2016, Vol. 2 ›› Issue (5): 95-106.doi: 10.11959/j.issn.2096-0271.2016058

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数据科学人才的需求与培养

陈振冲,贺田田   

  1. 香港理工大学电子计算学系,香港 999077
  • 出版日期:2016-09-20 发布日期:2018-02-08

Data science:the demand and development of talents

CCCHAN Keith,Tiantian HE   

  1. Department of Computing,The Hong Kong Polytechnic University,Hong Kong 999077,China
  • Online:2016-09-20 Published:2018-02-08

摘要:

信息科技业已进入大数据时代。作为能够从大数据中挖掘知识的人才,数据科学家(data scientist)受到各行各业的青睐。首先从美国和中国主要的在线人才招聘平台收集数据,通过对比分析得出数据科学家与传统的数据分析师(data analyst)在工作性质、工作能力要求以及薪资待遇等方面的差别。其次,考察和总结了世界范围内优秀大学数据科学人才培养的概况,并与工业界的实际要求进行对比。根据以上两者之间的差异,就当前大学数据科学人才的培养提出了建议和对策。

关键词: 大数据, 数据科学, 大学教育, 人才培养

Abstract:

Information technology has entered the era of big data.As talents who can discover the knowledge in big data,data scientists are tremendously demanded.The differences between data scientists and data analysts in the job nature,entry requirement and even remuneration were presented.Through a careful survey of the current job markets in the US and China.Then,it was revealed the gap between the kind of talents that were required for the jobs and the kind of graduates that the universities were training out.After a gap analysis,the views to the kind of data science programs which we believe may best develop the talents for the current and future job market were presented.

Key words: big data, data science, university education, talent development

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