JOAMS 2022 Vol.10(4): 100-103
doi: 10.18178/joams.10.4.100-103
doi: 10.18178/joams.10.4.100-103
Research on the Reform and Exploration of the "Big Data+Management" Mode of Applied Management Majors—Take the Management School of City Institute, Dalian University of Technology as an Example
Xu Liang
City Institute, Dalian University of Technology, Dalian, China
Abstract—A new type of management model and various types of management talents with big data thinking and related technologies are required with the advent of the big data era. In order to comply with the trend of future development and the future talent needs of the market, the reform of applied management majors are and explored, and the concept thinking and methods of big data management are implanted into the curriculum system of various majors so as to form "big data +Management" talent training and application model with the Management School of City Institute, Dalian University of Technology as the background.
Index Terms—management major, big data, big data+ management
Cite: Xu Liang, "Research on the Reform and Exploration of the "Big Data + Management" Mode of Applied Management Majors—Take the Management School of Cityalian University of Technology as an Example Institute, Dalian University of Technology as an Example," Journal of Advanced Management Science, Vol. 10, No. 4, pp. 100-103, December 2022. doi: 10.18178/joams.10.4.100-103
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Cite: Xu Liang, "Research on the Reform and Exploration of the "Big Data + Management" Mode of Applied Management Majors—Take the Management School of Cityalian University of Technology as an Example Institute, Dalian University of Technology as an Example," Journal of Advanced Management Science, Vol. 10, No. 4, pp. 100-103, December 2022. doi: 10.18178/joams.10.4.100-103
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.