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Big data has become an important field for international competition and national development, and urgent demand about big data has been created. This paper discuss the gap between current situation of graduate student education and the demand under big data. Dissipative structure theory is used to analyze the openness, fluctuation and non-linearity of graduate education quality assurance system. The quality assurance system could be improved from three aspects, that is opening the system and involving stakeholders, promoting the non-Linearity of the system and developing a more orderly structure of the system. Keywords—quality assurance system; financial and economic university; graduate student; big data

Research on the Quality Assurance System of Financial and Economic University Graduate Students under the Background of Big Data