Basic educational system: four years | Enrollment target: | Education: technical secondary school | Professional code: 07 120 1.
Training objectives
Training objectives
Training objectives: This major trains students to have systematic knowledge of statistical theory and application, master the main methods of statistics, have the ability to deal with data problems in specific industries, and be able to engage in data collection, analysis and decision-making innovation in related fields such as economy, management, biology, medicine, finance, insurance, industry, agriculture, forestry, commerce, information technology, education, health, medicine, meteorology, water conservancy, environment and disaster reduction.
Training requirements: Students in this major mainly study and master the basic theories, knowledge and skills of statistics.
Graduates should have the following knowledge and abilities:
1. Have good political, ideological, cultural, moral, physical and psychological qualities;
2. Master the basic knowledge, basic theory and systematic statistical thought of statistics;
3. Master the scientific methods of data collection, and be able to choose appropriate statistical methods for analysis, inference and prediction according to the characteristics of data;
4. Master the modern information technology of information query and document retrieval in Chinese and foreign languages, and initially have the ability to obtain solutions to problems of concern and judge these solutions;
5. Initially have the ability to apply statistical knowledge to solve problems in industrial fields (such as economy, finance, insurance, management, market research, biology, medicine, industry, agriculture, forestry, commerce, information technology, education, health, meteorology, water conservancy, environment and disaster reduction) and the sense of application innovation;
6. Understand the development trends of statistical theories and methods, and have a sense of statistical innovation and preliminary scientific research ability;
7. Have the ability to further professional development;
8. Strong communication, environmental adaptation and teamwork skills.
Main subjects: statistics, mathematics.
Core knowledge fields: basic ideas of statistics, mathematical theory, probability theory, statistical investigation, parameter estimation and hypothesis testing, nonparametric methods, regression analysis, multivariate statistical methods, random processes, time series analysis, experimental design and statistical software.
Example of core courses:
Example 1: Introduction to Statistics (48 hours of teaching and 32 hours of computer practice), Mathematical Analysis (288 hours), Algebra Foundation (224 hours), Analytic Geometry (64 hours), Ordinary Differential Equation (64 hours), Probability Theory (64 hours), Application of Stochastic Process (64 hours), Complex Variable Function (64 hours) 32 hours of computer practice), probability measurement I(64 hours), multivariate statistical analysis (48 hours of teaching and 32 hours of computer practice), time series analysis (48 hours) and experimental design (48 hours).
Example 2: Mathematical Analysis (300 hours), Advanced Algebra (200 hours), Analytic Geometry (60 hours), Modern Algebra (80 hours), Ordinary Differential Equation (60 hours), Probability Theory Foundation (60 hours), Complex Variable Function (60 hours), Real Variable Function (80 hours), General Statistics (60 hours)
Main practical teaching links: computer operation training, social investigation, statistical practice, scientific research training and graduation thesis, etc.
Length of study: four years.
Degree awarded: Bachelor of Science.
Professional ability requirements
Professional ability requirements
The main contents of professional teaching
The main contents of professional teaching
C/C++ programming, mathematical statistics, insurance accounting, elementary number theory, applied multivariate statistical analysis, introduction to statistics, financial modeling, risk theory analysis, complex variable and integral transformation, and macroeconomic statistical analysis cultivate the following professional directions: insurance actuarial, financial statistics, and macroeconomic statistical analysis.
Major (skill) direction
Major (skill) direction
Insurance enterprises: insurance actuarial and business statistics; Market research enterprises: data analysis, market research; Various enterprises: consulting, research, economic analysis, data analysis.
Example of vocational qualification certificate
Example of vocational qualification certificate
Examples of continuing learning majors
Employment direction
Employment direction
Employment prospects: There are three main employment flows of statistics graduates: government departments (statistics bureau, etc. ), banks, insurance companies, securities companies and other financial departments, market research companies, consulting companies, market research departments of companies, quality inspection departments of industrial enterprises and other enterprises and institutions;
Corresponding occupation (post)
Corresponding occupation (post)
Other information:
Among the first-level disciplines, there are 56 universities with "doctor-level" authorization in China, and 46 of them participated in the evaluation this time; There are also some universities with "doctoral level 2" authorization and master's authorization to participate in the evaluation; There are 87 participating universities. Note: The following same scores are arranged in order of school code. Overall level of school codes and names 10002 China Renmin university 90 100 1 Peking University 88 10384 Xiamen university 85 10055 Nankai university 83 10200 northeast normal university/kloc-0. 272 Shanghai University of Finance and Economics 10353 Zhejiang Gongshang University 78 10358 University of Science and Technology of China 10422 Shandong University 10004 Beijing Jiaotong University 76 10027 Beijing Normal University 10034 Central University of Finance and Economics/ University of Finance and Economics/KOOC-0/0028 Capital Normal University 74/KOOC-0/0038 capital university of economics and business/KOOC-0/0246 Fudan University/KOOC-0/0335 Zhejiang University/KOOC-0/0558 Zhongshan University/KOOC-0/0003 Tsinghua University 73/KOOC-0/003. Southern University/KOOC-0/0533 Central South University/KOOC-0/0559 Jinan University/KOOC-0/06/KOOC-0/0 Sichuan University/KOOC-0/02/KOOC-0/3 Harbin Institute of Technology 72/KOOC-0/0284 Nanjing University/KOOC-. 520 Zhongnan University of Economics and Law 10635 Southwest University 10036 university of international business and economics 701kloc-0/25 Shanxi University of Finance and Economics10/83 Jilin University 10285 Suzhou University/kloc. Xue 106 1 1 Chongqing university1078 Guangzhou university 1 1560 Xi 'an University of Finance and Economics 10378 anhui university of finance 69/kloc-0. 10698 Xi Jiaotong University1001Beijing Technology and Business University 68 10094 Hebei Normal University1kloc-0/40 Liaoning University 10252 Shanghai Industry. 38+00320 Jiangsu Normal University/KOOC-0/0327 Nanjing University of Finance and Economics/KOOC-0/0446 Qufu Normal University/KOOC-0/0459 Zhengzhou University/KOOC-0/0530 Xiangtan University/KOOC-0/0596 Guilin University of Technology/KOOC-0/0697 Northwest University/. Kloc-0/6388+005 12 Hubei University 1070 1 xidian university 14 14 China Youshi University 10052 Central University for Nationalities10292. University of Science and Technology/KOOC-0/0389 Fujian Agriculture and Forestry University/KOOC-0/049/KOOC-0/China Geo University/KOOC-0/05/KOOC-0/3 Hubei Normal University/KOOC-0/0536 Changsha University of Science and Technology/KOOC-0/0602 Guangxi Normal University/KOOC-. 8+0 Yunnan Normal University 10736 Northwest Normal University 10759 Shihezi University1660 Chongqing University of Technology 1 1846 Guangdong University of Foreign Studies10/kloc-0. Liaoning Normal University/KOOC-0/0/KOOC-0/66 Shenyang Normal University/KOOC-0/023/KOOC-0/Harbin Normal University/KOOC-0/0574 South China Normal University.