An Approach to Granting Subsidies to College Students in China Using Big Data

Abstract

China has made great improvement on subsidizing poverty-stricken students, but the current approaches of granting subsidies is not scientific or humane. Poverty-stricken students who couldn’t get sufficient subsidies in suitable ways need some new and more scientific granting approaches, which inspires me to go about this study. The approach, we have introduced, which has been adopted by University of Science and Technology of China, using Big Data, with which college grant subsidies according to scientific investigation and data analysis of students’ consumption in school canteens, is the key to resolve this problem. By adopting this approach, colleges and universities will do a better job in aiding poverty-stricken students financially and emotionally, which will be a meaningful improvement.

Key Words: Subsidies of Poverty-stricken Students, Big Data, Consumption Analysis