The subjects for the postgraduate entrance examination of statistics major are politics, English I, mathematics II and statistical synthesis.

The best direction of statistics postgraduate entrance examination is as follows:

1, basic mathematics

Basic mathematics is also called pure mathematics, that is, according to the inherent needs of mathematics or possible future applications, studying the inherent laws of mathematical structure itself has no direct connection with seeking common ground while reserving differences and solving practical problems in other disciplines, but only studies the quantitative relationship and spatial form of things in pure form.

Basic mathematics is the core of mathematical science. It is not only the basis of other branches of applied mathematics, but also provides essential language, tools and methods for natural science, technical science and social science. Differential geometry, mathematical physics and partial differential equations all belong to the category of basic mathematics. The well-known story of Chen Jingrun proving Goldbach's conjecture "1+2" happened in this field.

2. Computational mathematics

Computational mathematics is a new discipline that has developed rapidly with the appearance of computers, involving computational physics, computational chemistry, computational mechanics, computational materials science, environmental science, earth science, finance and insurance. It uses modern mathematical theories and methods to solve various scientific and engineering problems, analyze and improve the reliability, effectiveness and accuracy of calculation, and study the development technology of various numerical software.

It not only highlights the solution of some core theoretical and technical problems in the fields of information, electronics and computers, but also notes that new mathematical theories are abstracted from these high and new technologies; On the basis of maintaining the advantages of the main research directions of applied mathematics and computational mathematics, we should attach importance to and strengthen the research on the mathematical basis of information science, data analysis and statistical calculation, scientific calculation, modern optimization, numerical simulation of electronic systems and mathematical modeling of biological systems.

Professional background: Candidates are required to have basic mathematics, applied mathematics, information technology, computer science, data processing and system analysis, engineering, digital images and other knowledge.

Research interests: numerical methods of engineering problems, numerical methods of evolution equations and dynamic systems, numerical approximation and digital image processing, computer graphics and computer software, mathematical problems in optics and electromagnetism, etc.

Standing on the shoulders of mathematics, students in this direction have great advantages in both exams and going abroad. If graduate students are engaged in program development, their salary is generally higher, but their work intensity is relatively high.

In addition, graduates of this major can also engage in teaching in major universities, which can not only carry out further research, but also contribute to the cultivation of professional talents.

3. Probability and statistics

As a branch of mathematics, probability is a science and technology that studies random events, involving applications such as engineering, biology, chemistry, genetics, game theory and economics, covering almost all scientific and technological fields, and can be said to be the cornerstone of various predictions.

Statistics is a science of collecting, sorting, analyzing and interpreting statistical data. It mainly uses probability theory to establish mathematical model, collect data of observation system, make quantitative analysis and summary, and then make inference and prediction, so as to provide basis and reference for relevant decision-making.

Probability theory and mathematical statistics are rapidly developing disciplines in this century. They study the essence and inherent regularity of various random phenomena in natural science, social science and other disciplines, as well as the scientific comprehensive processing and statistical inference methods of various data. With the continuous improvement of the scale, complexity and accuracy of various systems in human society and the extensive use of computers, probability statistics will become more and more important.