The School of Statistics and Management co-organizes the "HSBC Cup" China University SAS Data Analysis Competition.
On October 24, the "HSBC Cup" 2015 China University SAS Data Analysis Competition kicked off. The School of Statistics and Management at Shanghai University of Finance and Economics, as a co-organizing unit for the Shanghai division, successfully completed the co-organizing work for the event.
The SAS Data Analysis Competition for Chinese Universities is a non-profit public competition initiated by SAS China, specifically targeting data analysis-related majors in Chinese universities. Hosted by SAS Software (Beijing) Co., Ltd. and organized by the China Scientific Software Network, it is aimed at universities across the country, with the goal of improving students' proficiency in SAS software and enhancing the influence of SAS software in Chinese universities.
Since the competition was established in 2013, the School of Statistics and Management has been responsible for co-hosting the Shanghai competition area. The college leadership attaches great importance and closely monitors the event. The college provides statistics laboratories and statistical survey laboratories as venues for the competition, and assigns dedicated teachers and students to assist with the activities. This year's Shanghai competition gathered nearly 30 SAS teams from Shanghai, Jiangsu, Zhejiang, Anhui, and other regions. Students from many universities, including Fudan University, Shanghai Jiao Tong University, Shanghai University of Finance and Economics, and East China Normal University, participated, making it the competition with the highest number of participating teams and the strongest average student level in recent years. The winners of the competition will represent the Shanghai region in the finals of the China College SAS Data Analysis Competition held in Beijing in November.
In recent years, the School of Statistics and Management has been focused on providing a higher quality exercise platform for a broad range of students and intensifying efforts to start a new chapter in school-enterprise cooperation. In the spring of 2015, the School of Statistics and Management, in collaboration with HSBC, established the Shanghai HSBC Data Analysis Club. The club is dedicated to providing a series of support for students in Shanghai universities who have a strong interest in business data analysis and intend to develop in this field. In October, led by the School of Statistics and Management, Shanghai University of Finance and Economics formally signed a strategic cooperation agreement with SAS China, and both parties will carry out comprehensive and multi-faceted strategic cooperation, including establishing a practical base for university students, founding the "Shanghai University of Finance and Economics - SAS Training and Development Center," organizing the "SAS Data Analysis Competition," as well as research cooperation and talent cultivation.
It is worth mentioning that students from the University of Finance have repeatedly achieved excellent results in the SAS Data Analysis Competition. In 2013, the undergraduate team from the School of Statistics and Management won the championship of the first SAS Data Analysis Competition, and in 2014, the team sent by the School of Statistics and Management reached the national top eight. In 2015, the school further strengthened its efforts in cultivating SAS talent. As early as the beginning of the year, the school began the initial selection and training of SAS team members, providing students with a large amount of professional materials free of charge and assigning professional teachers for regular guidance and irregular Q&A sessions, offering students the greatest support and assistance.
In the "Big Data" era, data analysis has become an essential skill for high-quality talent. The promotion and application of SAS software help to enhance the personal quality and overall competitiveness of higher education students, and also contribute to the development and progress of scientific theories towards practical applications.
