There are generally four subjects in the postgraduate entrance examination of applied statistics, namely, ideological and political theory, foreign languages, mathematics (specifically, the joint entrance examination of mathematics III or 396 economics) and specialized course statistics. The specific examination subjects are subject to the professional catalogue of the applicants.

Among these four subjects, ideological and political theory and foreign languages are unified national examinations, and mathematics subjects may be different. Some schools will choose Math III as the examination subject, and some may choose the 396 Economic Joint Examination.

The specialized course "Statistics" is one of the entrance examination subjects for full-time Master of Applied Statistics (MAS), with a total score of 150. The goal of this course is to cultivate students' solid statistical basic theory, systematic research expertise and the ability to collect, process and analyze actual data independently.

It should be noted that although the total score of the applied statistics postgraduate entrance examination is 500, the specific score distribution and emphasis of each subject may be different due to different schools and majors. Therefore, candidates need to carefully read the enrollment brochure and professional catalogue of their own application units in the process of preparing for the exam, understand the specific examination requirements and contents, and thus make the most suitable review plan for them.

Introduction to applied statistics

Master of Applied Statistics (MAS) is a master's degree to adapt to the development of statistics, improve the training system of applied statistics talents, innovate the training mode of applied statistics talents, and improve the training quality of applied statistics talents. This major cultivates good political and ideological quality and professional ethics.

In state organs, party organizations, enterprises and institutions, social organizations and scientific research and teaching departments, they have a good statistical background, systematic knowledge and skills in data collection, processing, analysis and development, are proficient in computer processing and data analysis, and can engage in high-level applied statistics professionals in statistical investigation and consultation, data analysis, decision support and information management.