服务市场需求的大数据人才培养模式研究

Research on the Big Data Talent Training Model for Serving Market Demand

摘要: 研究立足于当下高校大数据人才培养与市场人才需求现状，明确人才培养的缺失与偏差，为加快大数据人才供需两侧的有效对接提供支撑。采用社会网络分析与实体抽取方法，对大数据专业培养方案和大数据相关岗位招聘公告中体现出的人才能力特征进行分析与匹配，发现大数据人才培养与市场需求之间存在一定偏差，提出聚焦国家战略需要，以市场需求为导向，以学科特质为内核，以技术工具为抓手，高校、企业、国家协同培育的人才培养模式。

Abstract: Based on the current situation of big data talent cultivation and market demand in universities, this study clarifies the deficiencies and deviations in talent cultivation, providing support for accelerating the effective connection between the supply and demand of big data talents. By using social network analysis and entity extraction methods, the talent capability characteristics reflected in the big data professional training plan and big data related job recruitment announcements were analyzed and matched, and found that there is a certain deviation between big data talent cultivation and market demand. This paper proposes a talent cultivation model focusing on national strategic needs, oriented by market demand, with disciplinary traits as the core and technological tools as the grip, and cultivated by universities, enterprises and the state in collaboration.