Shanghai University of Finance and Economics has master's degree authorization points for first-class disciplines such as law, China language and literature, foreign language and literature, journalism and communication, agriculture and forestry economy and management, public management, theoretical economics, applied economics, business administration, management science and engineering, statistics and Marxist theory.
In recent years, "big data" has become the focus of attention of the Internet, news media, academic institutions, government enterprise managers and other parties. With the development of modern science and technology, especially the development of computer, network information, biological engineering and other technologies, a large number of data appear in many different fields of natural science and humanities, including biology, medicine, information technology, economy, finance, environmental science and so on, and are generated and accumulated at an unprecedented speed. Big data covers a large amount of data, is all-encompassing, changes rapidly and exists in various forms. It can be a collection of information including words, pictures, videos, etc. In the new round of technological and industrial competition, big data has become as important as natural resources and human resources. McKinsey, a well-known management company, claims that "data has penetrated into every industry and business functional field and become an important factor of production." In this context, in 20 12, the U.S. government announced that it would invest 200 million U.S. dollars to launch the "Big Data R&D Plan", which is another major technological development deployment after the 1993 announcement of the "Information Superhighway" plan in the United States.
The trend of big data allows us to obtain massive data, but it is meaningless to master these massive data. The real significance lies in the professional processing of data containing information. Strengthening the scientific research on big data and promoting the application development of big data will lay a foundation for China to grasp the competitive initiative in the field of big data in the future, which is a major demand for China's national and social stability, improving the level of scientific and technological innovation, promoting the sustainable development of the national economy, and improving social management and service capabilities. It is foreseeable that the economic and political competition between countries in the future will be dominated by big data.
With the vigorous development of internet finance, big data technology has gradually become a guarantee for its competition with traditional financial industries. However, although there are differences between Internet finance and traditional finance in form, the financial "contract" nature behind it has not changed greatly, and risk measurement and management are still the most important. This topic takes "Internet financial risk" as the core research object, taking various business models with different development as the research scene, deeply discusses the measurement and management of Internet financial risk, promotes the development of virtual economy and the structural transformation of real economy, summarizes and plans the future development orientation, so as to better guide the government and regulatory decisions, and put forward reference opinions and suggestions for the healthy development of virtual economy and the upgrading and adjustment of real economy.
Professor Zhou Yong, the project leader and dean of the School of Statistics and Management of Shanghai University of Finance and Economics, said that in the face of the rapid development of big data applications and the urgent need for national economic and financial security, we are faced with bottlenecks and challenges in big data analysis methods and need to develop theoretical methods and technologies for basic analysis of big data. At the same time, we should apply these theoretical methods to study data dimensionality reduction technologies and algorithms under big data, and deeply study frontier issues such as Internet financial risk management, market behavior of high-frequency massive data, and management decision-making.
"Theory and method of statistical learning of financial big data and its application in internet finance" will study the statistical inference theory of financial big data and its application. The core of the research content is the measurement modeling of financial big data and the proposal of fast algorithm. We hope that through relevant research, on the one hand, we can innovate in the theory and method of big data financial measurement and move towards the international frontier of discipline research in this field. On the other hand, it can also provide profound empirical basis and practical policy suggestions for the safe operation of China's financial system. "
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