大数据 ›› 2016, Vol. 2 ›› Issue (5): 89-94.doi: 10.11959/j.issn.2096-0271.2016057

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多“源”异“构”培养大数据创新型人才

吴力波   

  1. 复旦大学大数据学院，上海 200433
  • 出版日期:2016-09-20 发布日期:2018-02-08

Cultivating big data talent by combing various disciplines and utilizing multiple resources

Libo WU   

  1. School of Data Science,Fudan University,Shanghai 200433,China
  • Online:2016-09-20 Published:2018-02-08

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摘要：

大数据科技与产业的迅猛发展对人才培养提出了巨大的挑战。数据科学家需要具备从巨量数据中挖掘商业价值的能力，因此要进行多学科交叉培养。从大数据人才培养目前进展和需求来探讨多“源”异“构”大数据创新型人才的培养。在人才培养中要打造核心知识体系，使未来的数据科学家能够具备持续创新的基础。大数据人才培养必须要有数据环境，要打通政府、企业与高校之间的数据壁垒，面向真实数据培养针对性的应用技能。大数据人才培养要打破学科壁垒，从人才培养方案设计到教学、实习、毕业、考核各个环节标准都要体现交叉特色。

关键词: 大数据, 人才培养, 学科交叉

Abstract:

Rapid development of big data science and technology put forward great challenges to talent cultivation.Data scientist should have the capability of coax commercial value from tremendous data and require multi-disciplinary training.Based on the progress and demand of cultivating big data talent,the patlerns of cultivation big data talent by combing various disciplines and utilizing multiple resources were discussed.In the patterns of talent cultivation,core knowledge system should be built and the basis of innovation capability should be solid.The talent cultivation should have data resource.Therefore,breaking through the data open barriers of government,private firms and universities and providing real world data is essential for talent education.To strengthen the interdisciplinary features,talent cultivation should remove the barriers of disciplines and build up systematic standards through the teaching,internship,graduate and evaluation.

Key words: big data, talent cultivation, inter-discipline

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