1, Introduction to Statistics Specialty

This major trains innovative talents who have systematic statistical theoretical knowledge and application skills, master the main statistical methods and related computer technologies, have the ability to deal with data problems in specific industries, and can engage in data collection, analysis and decision-making in related fields such as economy, management, finance, insurance, commerce, information technology, education, environment and medicine.

Step 2 offer courses

Mathematical analysis, geometric algebra, mathematical experiment, ordinary differential equation, complex variable function, real variable function and functional, probability theory, mathematical statistics, sampling survey, random process, multivariate statistics, computer application foundation, programming language, data analysis and statistical software, regression analysis, reliability mathematics, experimental design and quality control.

And econometrics, economic forecasting and decision-making, financial mathematics, statistical analysis of securities investment, numerical analysis, data structure and algorithm, database management system, computer network system, system analysis and software design.

Five employment directions of statistics major

1, data analyst

Data analyst is an important position in different industries, specializing in the collection, collation and analysis of industry data, and making industry research, evaluation and prediction based on the data. Data and information are the intellectual assets and resources of enterprises, and the ability of data analysis and processing is becoming more and more dependent on technical means. Data analyst has a broad development prospect and is the employment direction of statistics major after graduation.

2. Market research analyst

Market research analysts are professionals engaged in market research and have attracted much attention all over the world. The development route of market research analysts generally has three directions: one is to develop in the technical and academic direction, such as becoming a senior market research analyst; The second is to become a manager, such as a market research manager; The third is to be a consultant.

3. Statisticians

To become a statistician, you need to take the technical qualification examination of statistical specialty, which has three levels: junior, middle and advanced. After passing the examination and obtaining the statistician certificate, you can engage in statistical investigation, statistical information management, quantitative analysis, market research, quality control and the development, research, application and management of high-tech products in enterprises and institutions and economic, financial or management departments.

4. Actuaries

Actuaries are mainly responsible for analyzing and evaluating the impact of uncertain cash flows in insurance, finance and other fields on future financial situation. As an important member of enterprise management team, actuaries need to integrate professional analytical skills, business knowledge and understanding of stakeholders to help groups understand the financial impact of their decisions.

5. Data Mining Engineer

Data mining engineer is a post of "finding hidden knowledge information from a large number of data through algorithms". The difference between data mining engineers and data analysts is that the former pays attention to "mining" and the latter pays attention to "analysis".

The purpose of data mining engineers is to make enterprise decisions more intelligent through the information mined, so as to improve the efficiency of enterprises, reduce wrong decisions and win the market in the fierce competition.