The development field of statistics itself is not only broader, but also widely used in computer science, information science, economics, management, financial engineering and other fields, which are strongly combined with each other and develop together. 1. Computers are the basic tools of statistics. For statistics, we should see that computers, like mathematics, are the basic tools of statistics. With the development of computer, more complicated data calculation becomes simple and fast, and becomes an important tool for statistical calculation. Nowadays, with the popularity of personal computers and the use of the Internet, great changes have taken place in society, and the quality and quantity of information transmission have changed by leaps and bounds. The development of statistics is inseparable from computers. There is no doubt that our students should learn relevant computer science knowledge. This will include data structure, algorithm design, programming language design, programming methods, database system development and management, programming and so on. We should also expand our curriculum plan, which should include the current computer-oriented data analysis methods, most of which are developed outside the statistical discipline. In this way, it will undoubtedly greatly enrich the employment scope of statistics specialty. 2. Data mining is a part of statistics. In my opinion, data mining is closely related to statistics and should be a part of statistics. Data mining is a discipline that reveals the patterns existing in data and the relationship between data, and it emphasizes the processing of a large number of observed databases. It is an interdisciplinary subject involving database management, artificial intelligence, machine learning, pattern recognition and data visualization. From the statistical point of view, it can be considered as an automatic exploratory analysis of a large number of complex data sets through computers. Since data mining is also data processing, we should actively learn from statistics. In the development history of statistics, many new methods developed in data processing related fields have been ignored. Such as pattern recognition, neural network, graphic model, data visualization, etc. They are all methodological fields sprouting in statistical science, but most of them are ignored by statistics. These methods are all high-tech fields in the world today, and it is painful for statistics to ignore them. Therefore, since statistics can play a role in data mining science, statistics should cooperate with data mining instead of throwing it to computer scientists, thus losing another chance of self-appreciation. 2 1 century is the century of information. Statistics will be closely combined with computers and data mining, and will be widely used in a brand-new form. According to statistics, the employment rate of computer major is as high as 90%. With the development of statistics, this share will be divided up by statistical professionals. Because most computer professionals lack the necessary theories and methods of data statistical analysis, and the times have put forward higher requirements for the accuracy and credibility of data, compound talents with modern statistical technology, computer technology and data mining technology are undoubtedly more popular. 3. The combination of statistics with economics, management and financial engineering. Because the methods of data processing and data acquisition and mining are diversified, the statistical analysis methods are relatively complex and specialized. The application of statistics should not only improve the basic quality of theoretical statistics, but also pay attention to mastering economic theory, financial trading system and financial theory, management science theory and computer technology methods. The close combination of statistical theory and application is more urgent and important than ever before. As far as statistics and financial engineering are concerned, financial engineering is an interdisciplinary subject, including the following three areas: (1) investment analysis; (2) Risk management; (3) Futures trading. Among them, investment analysis and risk management are directly related to statistical data description and speculative statistics. The futures trading part is mainly about the application probability process related to mathematics, and the research field of applying probability differential equations is sometimes called mathematical finance. No matter which field, financial engineering and statistics are closely related, and financial analysis cannot be separated from statistics. At present, there is an increasing demand for certified financial analysts (CFA) in China, but the knowledge of traditional financial theory and financial system is far from enough. CFA needs a lot of quantitative techniques, especially statistical knowledge. Various statistical methods are used to analyze fixed income securities and equity securities. It is reported that there are almost no local financial analysts (CFA) in China, but after China's entry into WTO, there is a great demand for CFA in the financial market, which will inevitably create huge employment space. So the combination of statistics and financial engineering is also a very potential space for the development of statistics. 4. The development of statistics itself Statistics should not only pay attention to the combination with other disciplines, but also seek innovation and breakthrough in the fields of statistical principles, statistical techniques and statistical methods. As mentioned at the beginning of this article, China used to focus on social and economic statistics, even now. Mathematical statistics and data mining are part of statistics, which has been recognized by many statisticians and statisticians. Therefore, statistics must include them in the scope of development, instead of throwing away what originally belonged to them again as in the past. Mathematical statistics and data mining have brought broader development prospects to statistical methods and technologies, which are not only conducive to the expansion of statistical research scope, but also conducive to the development of statistical information. 5. Let's talk about statistical employment. As we all know, government statistics, departmental statistics and folk statistics are the three giants in the field of statistical work in China. For a long time, government statistics and departmental statistics have occupied a high proportion in the employment of statistical students. However, with the improvement of China's socialist market and the development of global trade, folk statistics are getting hotter and hotter. Folk statistics is a series of statistical activities involving market research, statistical analysis, prediction and decision-making besides government statistics, including various statistical investigation companies, statistical information consultation centers, statisticians' offices, statistical research institutes and enterprise management consulting companies that apply statistical methods to enterprise decision-making and management. It is a bridge between the market, enterprises and residents, and mainly provides micro-information of the market for enterprises and residents. Due to the diversity of services and the flexibility of forms, non-governmental statistical institutions have made great progress in China, and gradually provided broad employment opportunities for statistical students. With the continuous development of private statistical institutions, the author believes that private statistical institutions will become one of the main channels for employment of statistical students.