Program Overview
Approved as a first-level master's program in 2011, the program offers three research directions: Social and Economic Statistics, Financial Statistics, and Mathematical Statistics. With research characteristics including financial index measurement, dynamic portfolio construction, optimal investment and financing decisions of enterprises, and digital economy analysis, the program has undertaken and completed multiple national-level projects, and has received several Outstanding Social Science Achievement Awards of Jiangxi Province. More than 80 papers have been published in journals such as Quantitative & Technical Economics and Statistical Research. The program aims to cultivate high-level statistics talents with both moral integrity and professional competence, a solid theoretical foundation in statistics, and strong applied skills.
Strengths and Features
1.Diversified Faculty and Integrated Team: The discipline is supported by several provincial-level talents, including Distinguished Professors of Jiangxi Province. It brings together faculty with multidisciplinary backgrounds, leveraging expertise in fields such as Statistics, Economics, Management, and Mathematics. Research teams are strategically integrated according to disciplinary directions, fostering collaborative excellence.
2.Integration of Multidimensional Research Directions and Methodologies: The discipline integrates research directions such as financial index measurement, dynamic portfolio selection, and digital economy analysis, as well as innovative methodologies including mixed-frequency data models, Bayesian methods, and two-stage discriminant analysis.
3.Interdisciplinary Talent Training: The discipline explores a new model of cultivating interdisciplinary talents by integrating statistics with economics, management, science, engineering, agriculture, medicine, etc. This approach aims to develop statistical professionals with innovative capabilities and cross-disciplinary knowledge, well-equipped to meet the demands of the new era.
