图书情报知识 ›› 2026, Vol. 43 ›› Issue (2): 158-167.doi: 10.13366/j.dik.2026.02.158

• 情报、信息与共享 • 上一篇    

大数据管理与应用本科专业学位教育发展状况调查报告(2024)

邓胜利, 袁梦, 汪璠   

  1. 武汉大学信息管理学院,武汉,430072
  • 出版日期:2026-03-10 发布日期:2026-05-21
  • 通讯作者: 汪璠(ORCID: 0000-0003-0100-0320),博士研究生,研究方向:生成式人工智能、机器学习,Email: 1161252028@qq.com。
  • 作者简介:邓胜利(ORCID: 0000-0001-7489-4439)博士,教授,研究方向:用户信息行为、大数据安全,Email: victorydc@sina.com;袁梦(ORCID: 0009-0002-9554-2023),硕士研究生,研究方向:信息行为,Email: ym13330853396@163.com。
  • 基金资助:
    本文系2024年武汉大学本科教育质量建设综合改革项目“数据智能双驱动的大数据管理与应用人才培养模式改革研究”的研究成果之一。

Survey Report on the Development Status of Undergraduate Degree Education in Big Data Management and Application(2024)

DENG Shengli, YUAN Meng, WANG Fan   

  1. School of Information Management, Wuhan University, Wuhan, 430072
  • Online:2026-03-10 Published:2026-05-21
  • Contact: Correspondence should be addressed to WANG Fan, Email: 1161252028@qq.com, ORCID: 0000-0003-0100-0320
  • Supported by:
    This is an outcome of the project "Research on the Reform of the Training Mode for Big Data Management and Application Talents with Dual Driving Forces of Data and Intelligence" supported by a grant from 2024 Comprehensive Reform Program for Undergraduate Education Quality Construction of Wuhan University.

摘要: [目的/意义]随着“人工智能+”快速融合到不同学科中,大数据管理与应用专业也进行了相应变革,开展大数据管理与应用专业本科教育的发展状况调查研究,有助于反映其发展趋势并提出相应建议。[研究设计/方法]通过从教育部官网获取本科专业审批数据,进而从院校现状、国家政策与行业要求、人工智能浪潮影响三个层面,系统剖析我国大数据管理与应用本科教育的进展,并与往年数据比较反映该专业的发展趋势。[结论/发现]截至2024年10月,全国(不含港澳台)该专业的培养单位数量达到252所。多数院校在制定培养方案时结合自身优势大力发展,但仍存在培养单位的课程体系和培养目标、社会需求导向不完全匹配,需结合国家社会需求利用人工智能为学科赋能,增强专业核心竞争力。[创新/价值]通过梳理大数据人才政策和就业要求,对大数据管理与应用本科专业全面调查和深入分析,反映该专业当前现状和发展趋势,为培养单位持续培养大数据人才提供有价值的参考。

关键词: 大数据管理与应用, 人工智能, 专业学位调查报告, 培养方案, 教育

Abstract: [Purpose/Significance] In the context of the swift integration of "artificial intelligence +" into diverse disciplines, the major of Big Data Management and Application has also witnessed corresponding transformations. Conducting an investigations and research into the development status of undergraduate education in this major within China is of great significance, as it can effectively reflect its evolving trends and thereby enable the formulation of pertinent suggestions.[Design/Methodology] This paper obtains the approval data of undergraduate programs from the official website of the Ministry of Education of China, and undertakes a systematic analysis of the progress of undergraduate education in Big Data Management and Application in China from three key aspects: the current situation of colleges and universities, the requirement of national policies and industry, along with the impact of the wave of artificial intelligence. By comparing with the circumstances of previous years, this study also accurately reflects the development trend of this major.[Findings/Conclusion] As of October 2024, the number of training institutions offering this major in China(excluding Hong Kong, Macao and Taiwan)has reached 252. When formulating training programs, most colleges and universities have actively developed by leveraging their respective advantages. However, there is still a misalignment between the curriculum systems and training objectives of some training institutions and the orientation of social needs. It is essential to leverage artificial intelligence to empower this discipline in accordance with national and social needs, and enhance the core competitiveness of the major. [Originality/Value] Through a comprehensive review of the talent policies and employment requirements related to big data, this article conducts a thorough investigation and in-depth analysis of the undergraduate major of Big Data Management and Application in China. It accurately depicts the current situation and development trends of this major, thereby providing valuable insights for training institutions in their continuous cultivation of big data talents.

Keywords: Big Data Management and Application, Artificial intelligence, Professional degree survey report, Training program, Education