Applied statistics is a discipline that focuses on the study of the basic theories and methods of statistics, which emphasizes the ability to process and analyze large amounts of data, especially the use of computer technology for efficient data processing. The program aims to train students to master the core knowledge and skills of statistics to solve practical problems in various fields such as economy, society, science and technology. Keywords include numbers, computers, probability, and sample surveys, which are all indispensable elements of applied statistics.
Applied Statistics majors include Statistics, Applied Statistics, Accounting, Probability Theory and Mathematical Statistics.
1. Statistics
Statistics is one of the main directions for the postgraduate examination of applied statistics. In this direction, students will study the basic theories and methods of statistics, including probability theory, mathematical statistics, regression analysis, multivariate statistics, etc.
Through the study, students will master how to use statistical knowledge to effectively analyze and interpret data, and provide a scientific basis for decision-making. In addition, the statistics track also focuses on cultivating students' statistical thinking ability and ability to solve practical problems, so that they can give full play to their professional advantages in various fields.
2. Applied statistics
The Applied Statistics track emphasizes the application of statistical methods to practical problems. In this pathway, students will learn how to apply statistical theories and methods to solve practical problems in the fields of economics, management, biomedicine, and social sciences.
Compared with the direction of statistics, the track of applied statistics pays more attention to practice and application, and requires students to have a solid foundation in statistics and good ability to solve practical problems. Through postgraduate studies, students will have the opportunity to be exposed to more advanced applied statistical methods and techniques, laying a solid foundation for future career development.
3. Accounting
Accounting is a special direction in the postgraduate examination of applied statistics. In this direction, students will learn the basic theories of accounting, accounting systems, and accounting standards, and develop the ability to process and analyze accounting information.
Although accounting and applied statistics are different in terms of disciplinary attributes, they are closely related in terms of data processing and analysis. Through the study of accounting, students will be able to better understand and use accounting information, and provide strong support for the decision-making and development of enterprises.
4. Probability theory and mathematical statistics
Probability theory and mathematical statistics is a branch of mathematics that mainly studies the quantitative laws of random phenomena. In this track, students will learn in depth the basic concepts of probability theory, random variables and their distributions, random processes, etc., as well as the basic principles and methods of mathematical statistics.
This track is an excellent option for students who wish to delve deeper into the mathematical foundations and theories of statistics. Through postgraduate studies, students will have the opportunity to be exposed to more advanced theories and methods of probability theory and mathematical statistics, which will provide strong support for future academic research and applied innovation.
Graduates of the Applied Statistics program have a wide range of employment opportunities in finance, consulting companies, and a variety of businesses. They can pursue careers in data analysis, social surveys, risk management, actuarials, etc., as well as positions in statistical surveys, statistical information management, quantitative analysis, and more.