In the previous article, we learned that statistics majors can get a high salary after graduation. In this article, I will introduce the courses that statistics majors need to take.
Statistics is a comprehensive discipline involving multiple fields such as data analysis, probability theory, and mathematical modeling. In China, the statistics major mainly cultivates high-quality talents with a solid mathematical foundation, proficient computer skills and strong statistical analysis ability. This article will describe all the professional courses of the statistics major in detail for the reference of the majority of candidates and professionals.
1.Advanced Mathematics: including calculus, linear algebra, ordinary differential equations, etc., to provide necessary mathematical tools for statistics majors.
2.Probability Theory and Mathematical Statistics: The study of the laws of random phenomena provides a theoretical basis for statistics.
3.Mathematical Analysis: Concepts such as functions, limits, derivatives, and integrals are studied to lay the foundation for an in-depth understanding of statistical principles.
4.Real and complex functions: study the properties of real numbers, complex numbers and their functions, and provide support for in-depth study of probability theory and mathematical statistics.
1.Descriptive Statistics: The study of methods of data collection, processing, presentation, and description, including graphical representation of data, charting, etc.
2.Inferential Statistics: The study of how to make inferences about populations based on sample data, including parameter estimation, hypothesis testing, etc.
3.Multivariate statistical analysis: study the relationship between multiple variables, including regression analysis, analysis of variance, cluster analysis, etc.
4.Nonparametric Statistics: Studying how statistical inferences can be made when a population distribution or parameter is not known.
5.Time Series Analysis: Characterization, modeling, and methods for studying time series data.
6.Statistical Computing: The study of how to use computers for statistical analysis and calculation, including the use of statistical software, algorithm design, etc.
7.Applied Statistics: The study of the application of statistics in various fields, such as biostatistics, economic statistics, financial statistics, etc.
1.Computer Fundamentals: Includes basic knowledge of computer hardware, software, networks, and databases.
2.Data Structures and Algorithms: The study of how computers store and process data, and how to solve problems.
3.Programming Languages: Learn one or more programming languages, such as Python, R, C++, etc., for statistical analysis and software development.
4.Database Principles and Applications: Research on the design, management and application of databases, and provide support for data mining and statistical analysis.
5.Machine Learning: The study of methods by which computers automatically learn and improve from data, including supervised learning, unsupervised learning, etc.
1.Applied Mathematics: The study of the application of mathematics in various fields, such as operations research, optimization methods, etc.
2.Economics: Learn the basic theories and methods of economics and provide support for economic statistics and financial statistics.
3.Social Sciences: Research the basic theories and methods of social sciences and provide support for the application of statistical analysis in the field of social sciences.
4.Accounting: Learn the basic theories and methods of accounting to provide support for financial statistics and analysis.
5.Management: Learn the basic theories and methods of management, and provide support for the application of statistical analysis in the field of business management.
In short, the statistics major course covers mathematics, statistics, computer science, economics, management and other fields, aiming to cultivate interdisciplinary talents with comprehensive quality, professional skills and innovation ability. With the advent of the era of big data, statistics is more and more widely used in data analysis, decision support, risk control, etc., and has high employment prospects and development potential.