Recently, the results of the 2024 National Financial Big Data Processing Comprehensive Skills Competition were announced. Two teams from the School of Economics and Management won third prize, and teachers, Huang Kanmei and Ji Xiaoyi, were honored with the title of “Excellent Instructor.”
The 2024 National Financial Big Data Processing Comprehensive Skills Competition was sponsored by the China Business Accounting Institute（CBAI）, hosted by Wuhan Technology and Business University and Jiangsu Vocational Institute of Commerce, and supported by CSMAR. A total of 308 universities from 23 provinces, municipalities, and autonomous regions participated in the competition, with 1,320 undergraduate teams taking part. The competition was divided into two tracks: the Data Acquisition Group and the Data Analysis Group. Each track was further divided into a knowledge competition module and a data operation module. The operation module of the Data Acquisition Group was divided into "Data Acquisition," "Data Cleaning," and "Data Storage and Query," while the Data Analysis Group's operation module included "Data Acquisition," "Data Preprocessing," and "Python Data Analysis." Four teams from the 2022 and 2023 cohorts of the Financial Technology Application Major in the School of Economics and Management participated in the competition, with two teams, "Zhongqiao Buffett" and "Muzi Group," winning third prize.
Subsequently, the "Muzi Group" participated in the Championship Invitational Tournament of the National Finance and Economics Big Data. The three students from the "Muzi Group" worked closely together, delivering a live speech on the topic "Data Analysis of the Software Industry in the Digital Economy Age," focusing on digital technologies such as data acquisition and cleaning, data visualization, and more. After fierce competition, the contestants cooperated effectively, deeply integrating financial knowledge with big data applications. They used tools like SQL and Python to conduct an in-depth analysis of the internal and external environment of the enterprise, ultimately securing third prize.
This competition not only demonstrates the exceptional skills of our students majoring in Financial Technology Application but also injects new vitality into the application and development of big data technology in the financial field. The cross-integration of big data processing and financial technology application provides a solid foundation for the training of compound talents in financial technology within the school and further supports the construction of new liberal arts in university. It is anticipated that in the future, more outstanding students from the Financial Technology Application program will emerge in the field of digital finance and achieve even greater success.
Contributed and Translated by School of Economics and Management
Reviewed by Lin Danbei
