Big Data Talent Cultivation through Industry–Academia–Research Integration

Abstract

The big data industry, as a national strategic emerging sector and a key development direction in the Yangtze River Delta region, is driving the digital transformation and intelligent upgrading of the economy and society. The smart shipping industry plays a crucial role in the strategy of building China into a strong transportation power. By leveraging big data, artificial intelligence, cloud computing, and the Internet of Things, it enables applications such as vessel scheduling optimization, port resource allocation, and pollution monitoring and management, making it one of the most promising fields for the integration of big data technologies. However, higher vocational education faces challenges in meeting the demand for big data talents in smart shipping, including insufficient practical capabilities of teachers, outdated teaching philosophies, and misalignment between curricula and job requirements. To address these issues, the program relies on provincial engineering research centers and high-level specialty cluster construction, and explores a talent cultivation model characterized by “platform as the foundation, projects as the core, and integration as the essence.” Through the establishment of resource transformation mechanisms, faculty development pathways, and the reconstruction of cross-disciplinary curricula, this model achieves resonance between research, teaching, and industry. Ultimately, it forms a multi-level teaching approach driven by task orientation and research–teaching–application integration, providing a systematic paradigm for talent cultivation to support the deep integration of big data and the shipping industry.