EIREducational Innovation Research3029-18443029-1852WHIOCE PUBLISHING PTE. LTD.10.18063/EIR.v4i3.1811ArticleResearch on Industrial Adaptation and Practical Transformation of Emerging Engineering and Business Disciplines in Local Universities in the Era of Big Data and AIhttps://artdesignp.com/journal/EIR/4/3/10.18063/EIR.v4i3.1811LiangXiaobei2026432026-03-26The deep integration of big data and artificial intelligence (AI) is empowering industrial upgrading, posing new interdisciplinary, data-driven, and practice-oriented demands on talent cultivation in emerging engineering and business disciplines at local universities. However, these institutions currently face challenges such as outdated curricula, impractical teaching detached from real-world scenarios, insufficient engineering practice and data literacy among faculty, and superficial industry-education integration. To address regional industrial needs, it is essential to shift curricula from knowledge-based to competency-oriented with dynamic updates, transition practical teaching from simulation-based to real project-driven approaches, transform faculty into “dual-qualified” professionals with both teaching and industry expertise, and establish a collaborative ecosystem involving governments, universities, and enterprises. Through multidimensional reforms, the alignment between talent development and local industries can be enhanced, providing high-quality human resources to support regional digital transformation.Big data,AI,Emerging engineering,Emerging business,Industry-education integration,Practical teaching

[1] Cai Q, 2025, Research on AI Empowerment in the Construction of Food-Related Majors at Higher Vocational Colleges in the Context of Big Data. China Food Industry, 2025(21): 161–163. [2] Gao D, 2026, “Industry Integration - Characteristic Shaping”: Logic, Models, and Pathways for the Applied Transformation of Local Universities. Journal of Fujian Jiangxia University, 16(1): 33–44. [3] Ren S, Hu B, Tang Y, 2025, Research on Collaborative Innovation Mechanisms for Local Undergraduate Universities Driving Regional Industrial Upgrading. Science & Technology Economy Market, 2025(4): 44–46. [4] Han Y, Zheng Q, Jiang Y, 2025, Breaking Through Dilemmas and Dynamic Optimization in the Construction of Micro-Majors in Digital Economy at Local Universities. Modern Business Trade Industry, 2025(20): 43–45. [5] Zhou S, 2025, Research on Collaborative Innovation Pathways Between Private Universities and Cultural Industry Bases Driven by AIGC. Comedy World (Mid-Month Edition), 2025(8): 100–102. [6] Mao H, 2025, Research on Innovative Pathways for Green Management Models in University Chemistry Laboratories Driven by Big Data and AI Technologies. Chemical Fiber & Textile Technology, 54(5): 255–257.