Research on Dilemmas and Optimization of Big Data Talent Cultivation under Industry-Education Integration

Abstract

In the era of rapid digital economy growth,the big data industry is a key driver for modernizing governance and upgrading industries.However,China’s big data talent cultivation faces challenges like mismatched education and industry needs,limited school-enterprise collaboration,outdated curricula,weak faculty practical skills,incomplete practical training systems,and insufficient policy support.This paper analyzes these issues from the perspective of industry-education integration and proposes five optimization strategies:(1)clarify goals to build a multi-tiered,tailored talent cultivation system;(2)deepen collaboration for a comprehensive,ongoing school-enterprise partnership mechanism;(3)innovate teaching by integrating certifications and project-based learning;(4)strengthen faculty by developing high-quality dual-qualified teachers;(5)create a sustainable industry-education ecosystem.The study concludes that big data talent cultivation should align with industry demands,focus on skill development,and integrate education,industry,and innovation chains to establish a collaborative,open,and innovative system,providing robust talent support for China’s digital economy and big data industry.