THE TALENT-CULTIVATION MODEL FOR FINANCE AND ECONOMICS PROGRAMS IN VOCATIONAL UNDERGRADUATE EDUCATION FROM A BIG DATA PERSPECTIVE
Keywords:
Big data, Vocational undergraduate education, Finance and economics programs, Talent cultivation, Industry–education integrationAbstract
The widespread adoption of big data technologies has fundamentally reshaped the operational model of the modern finance and economics sector. It has driven a shift in financial work from traditional accounting toward data analysis and intelligent decision-making, while placing new demands on practitioners’ overall competence and professional capabilities. As a core form of higher-level vocational education, vocational undergraduate education focuses on preparing applied and technically oriented professionals and serves as a major source of finance and economics talent for industry. At present, amid the rapid development of the digital economy and the big data industry, the conventional talent-cultivation model used by vocational undergraduate finance and economics programs remains rigid and is clearly misaligned with the practical requirements and competency standards of industry roles. Against this background, this paper considers developments in the big data industry alongside the distinctive characteristics of vocational undergraduate education, analyzes current problems in the cultivation of finance and economics professionals, and proposes targeted reform strategies. It aims to improve the education system for vocational undergraduate finance and economics programs, prepare high-quality technical and skilled finance and economics professionals for the industry’s digital transformation, and provide practical guidance for teaching reform in these programs.References
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