Statistics (actuarial direction) major aims to cultivate good knowledge of mathematics, economy and finance, master the basic theories and methods of probability statistics, financial engineering and actuarial science and computer application technology, be able to conduct statistical investigation and data analysis, risk assessment and risk management, and have a high level of foreign languages, so as to lay a solid foundation for students who are interested in becoming senior statisticians, financial analysts and actuaries.

Students mainly study the following professional basic courses and specialized courses: mathematical analysis, advanced algebra, analytic geometry, probability theory, mathematical statistics, stochastic process, time series analysis, sampling technology, mathematical physics methods, economics, finance, insurance, corporate finance, financial engineering principles, financial statistics, interest theory, actuarial mathematics, risk theory, data structure and database, programming and software engineering, computer application technology, etc. Students will be arranged to practice in relevant financial institutions.

After graduation, most of the students are engaged in senior management such as statistical information management, financial supervision, quantitative analysis of asset pricing, financial product development, investment decision, etc. in government departments, banks, securities institutions, insurance companies or other enterprises and institutions, or engaged in research and teaching in scientific research units and institutions of higher learning. This major is a new science major formed by the intersection of information science, computing science, operation and control science. Cultivate senior professionals who meet the actual needs of China's socialist market economy, develop morally, intellectually and physically, have a good mathematical foundation and mathematical thinking ability, master the basic theories, methods and skills of information and computing science, have received scientific research training, and can solve practical problems in information processing and scientific and engineering computing. Graduates can engage in research, teaching, application development and management in science and technology, education, economy, finance and other departments, or continue to study for postgraduate degrees in related disciplines.

Students mainly study the following professional basic courses and specialized courses: mathematical analysis, advanced algebra, probability and statistics, computer foundation, differential equation, numerical analysis, mathematical model, operational research, information theory foundation, data structure and algorithm, computer graphics and modern control theory.

After graduation, most of the students are engaged in senior management such as statistical information management, financial supervision, quantitative analysis of asset pricing, financial product development, investment decision, etc. in government departments, banks, securities institutions, insurance companies or other enterprises and institutions, or engaged in research and teaching in scientific research units and institutions of higher learning.