我国数字经济人才缺口高达3200万人

Core Viewpoint - The article emphasizes the urgent need for talent in the data sector, highlighting a significant gap between the supply and demand for digital economy professionals, as outlined in the recent government policy aimed at enhancing data-related education and workforce development [1][3][4]. Group 1: Talent Shortage - The talent gap in China's digital economy is projected to exceed 32 million by the end of 2024, with a demand for approximately 65 million professionals against a supply of only 32.86 million [3]. - The shortage is particularly acute for high-end composite talents, with traditional low-end jobs also facing a lack of qualified candidates [3][6]. - The establishment of data science and big data technology undergraduate programs has surged, with 769 universities offering these majors by the end of 2024, marking the highest increase among new undergraduate programs from 2014 to 2023 [3]. Group 2: Policy Initiatives - The government has previously initiated several policies to address the talent shortage, including the 2015 action plan to promote big data development and the 2024 action plan for accelerating digital talent cultivation [4]. - The recent policy document emphasizes the need for a multi-layered and multi-type talent cultivation system in the data sector [4]. Group 3: Structural Gaps in Talent - There is a structural gap in the supply of high-level data professionals, with only about 40,000 graduates in data science and big data technology each year, insufficient to meet the demand [6]. - The relevance of graduates' majors to job requirements is also a concern, as many employers prioritize practical skills over specific degrees [6]. Group 4: Focus on Specialized Talent - The article suggests a need to cultivate specialized talents in data technology, data industry, and data law, forming a comprehensive talent development chain [7]. - Data technology talents should include roles such as data analysts and data architects, while data industry talents should focus on vertical applications in sectors like digital government and digital finance [7]. Group 5: Educational Adjustments - The article warns against a uniform approach to establishing data science programs, noting that many non-engineering universities are producing graduates with lower job satisfaction and relevance to their fields [9][10]. - It advocates for differentiated program offerings based on institutional strengths and local industry needs, suggesting that liberal arts colleges might focus on "data+" programs instead of traditional data science degrees [9]. Group 6: Emphasis on Vocational Education - The recent policy highlights the importance of vocational education in the data sector, proposing the establishment of a national data vocational education teaching guidance committee and industry-education integration initiatives [15][16]. - It encourages collaboration between data companies and vocational schools to create practical training environments and relevant curricula [16].