Renlin Wang, Yonghui Zhang, Meiling Ge, Chunlei Chen, Lijun Han, Haihui Liu, Lingling Cui, Kuiting Zhang
School of Computer Engineering, Weifang University, Weifang, 261061, Shandong, China
Weifang is a rapidly-developing digital-economy city in China. The fast growth of local preponderant industries puts forwards massive demands on application-oriented big-data-technology talents, which can provide fundamental support to the digital production. Nevertheless, it is a challenging task to establish a cultivation system of big-data-technology talents. We are building the Data Science and Big Data Technology specialty in School of Computer Engineering, Weifang University. Our school has possessed the prerequisites of building a distinctive specialty, including excellent faculty team, high-level academic research lab and research projects, and university-enterprise joint cultivation mechanism. Based on the existing prerequisites, we propose to boost development of the specialty through the following solutions. First, we will explore further innovation of cultivation model aiming at the practical demands of local industries. Subsequently, we will improve the faculty team structure, especially increasing the percentage of “bi-qualified” faculty members that are competent in both academic research and engineering practice. Finally, we will establish more training bases that effectively bridge the gap between the talents and practical industry demands Based on these three solutions, we have achieved some positive feedbacks and we are planning to build a distinctive provincial specialty of Data Science and Big Data Technology.
Big Data, Talent Cultivation, Specialty Building
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