Research interests of department faculty concentrate on theoretical research and application of finance-and-economics-oriented statistics research, both theory and application, as well as data science research based on probability theory and other mathematical tools. Research work is featured by combing theoretical study and finance and economics application. Principal research activities are semi-parametric and non-parametric inference, network data analysis, panel data analysis, data mining, experimental design, sampling survey, Bayesian inference, symbolic data analysis, supervised and unsupervised learning, applied probability, applied stochastic process, and other statistical application areas. 

There are 17 teachers in the department, including 2 professors, 7 associate professors, 8 assistant professors. 89% of faculty members are awarded doctoral degree.