The specialized courses of university statistics include: basic mathematics course, probability theory, mathematical statistics, operational research, descriptive statistics, sampling survey principle, multivariate statistical analysis, computer foundation, applied stochastic process, etc. Applied statistics: basic courses of mathematics (analysis, algebra, geometry), probability theory, mathematical statistics, operational research, computer foundation, applied stochastic process, etc.

This course explains basic linear algebra, matrix operations and determinants. At the same time, vector space, inner product space, eigenvalue and eigenvector, orthogonal symmetric matrix are introduced. And linear second-order differential equations, first-order constant coefficient equations, Fourier series and so on.

Only when the total GPA exceeds 3.2 and the above four courses are successfully completed, can students enter the statistics major for professional courses. It includes three compulsory courses and three elective courses.

Probability theory, the theoretical basis of modern statistics

Began to study gambling opportunities, probably 1477. Mathematicians have conducted long-term research to explain the general laws governing opportunities, and gradually formed the theoretical framework of probability theory. On the basis of further development of probability theory, mathematicians gradually established observation error theory, normal distribution theory and least square method by the early 19th century. Therefore, modern statistical methods have a solid theoretical foundation.