The question of studying statistics at university and then going to graduate school in finance

I also studied statistics, and my undergraduate degree was also in the ordinary second book, so I will tell you what I think. Now the prospect of statistics is getting better and better, people's understanding of statistics is getting higher and higher, and some banks, foreign companies, civil servants, and public institutions are also recruiting more and more statistics. I suggest you still don't switch to finance, finance has always been a popular major in the first few years, there are more and more graduates, and the competition is getting bigger and bigger, from the perspective of employment, the employment scope of finance is not so wide.

Many of my classmates have been admitted to graduate school, and basically they are all admitted to their own majors, such as Renmin University, Dongcai, and Xiamen University. As far as I know, they are all very well employed.

If you don't like statistics and like finance, you can change your major to take the exam, and the mathematics foundation of statistics majors is generally better. However, I personally think that if you are still a little interested in statistics, you should not change your major, our major is very good!

Personal insights. Answer 1: The possibility of being admitted will be very high, no matter what direction you take the exam, as long as you review carefully, and the mathematics of statistics should be very good, so you have a great advantage;

Answer 2: English and professional courses, especially English, are generally known to graduate students, in fact, the problems in professional courses are not very big, as long as they review well;

Answer 3: International trade, finance is better, there are many directions, different schools, there are certain differences in directions.

Let's penetrate each other.

Statistics is certainly not a branch of finance. To be precise, statistics should be a branch of mathematics (applied mathematics.

Statistics is certainly not a branch of finance. To be precise, statistics should be a branch of mathematics (applied mathematics.

Statistics and management are not branches of finance, and from a macro point of view, the scope of management is the largest, covering economic, political, and cultural factors. Finance is a branch of economics, and statistics should be an independent science.

Statistical Origins:

The English word statistics originated from the modern Latin statisticum collegium (parliament), the Italian statista (national or statesman), and the German language.

Statikik, first used by Gottfried Achenwall in 1749, stands for the study of the analysis of state sources, that is, "the science of studying the state".

In the nineteenth century, statistics became the most important science in a wide range of data and sources, and was introduced to the English-speaking world by John Sinclair.

Statistics is a very old science, and it is generally believed that its theoretical research began with Aristotle in ancient Greece.

The era has a history of more than 2,300 years. It originated from the study of social and economic problems, and in the course of more than 2,000 years of development, statistics has gone through at least three stages of development: "city-state political situation", "political arithmetic" and "statistical analysis science".

The so-called "mathematical statistics."

It is not a new discipline independent of statistics, but rather a comprehensive term for all the new methods of collecting and analyzing data that statistics has developed in the third stage of development. Probability theory.

It is the theoretical basis of mathematical statistical methods, but it does not belong to the category of statistics, but to the category of mathematics.

Statistics is the basic discipline of finance.

Economic Statistics (Financial Statistics) The program aims to cultivate interdisciplinary professionals, which not only comprehensively cultivates students' comprehensive knowledge literacy in finance and economics, but also systematically cultivates students' professional skills in statistics and investment. It not only trains students' practical ability of logical analysis and data processing, but also pays attention to training students' research ability of statistical ideas and statistical methods, which not only improves students' humanistic temperament and internal cultivation of sound personality; It not only cultivates students' ability to skillfully use statistical software to process data, but also cultivates students' ability to effectively use statistical knowledge to quantitatively analyze finance. They can not only be competent in the practical work of statistical application, lay a good foundation for adapting to social employment, but also be competent in high-level statistical research, and prepare for further study.

This major focuses on the application of statistics in the fields of economics, finance, insurance, and management. The trained financial statistics talents can be proficient in using computers to analyze data and solve practical problems such as finance, insurance, business statistics, and economic statistics. Being able to engage in statistical investigation and data analysis in financial regulatory departments, as well as financial product design, industry analysis, risk control and other work in financial institutions such as commercial banks, insurance companies, etc., as well as quality control, data mining, process optimization and other work in other multinational enterprises, is an application major with broad development prospects and strong vitality.

The main professional courses offered by this major are: Mathematical Analysis, Probability Theory, Mathematical Statistics, Time Series Analysis, Regression Analysis, Multivariate Statistics, Applied Stochastic Processes, Monetary and Financial Statistics, Practical Statistical Software (SAS), Statistical Experiments (SPSS), Six Sigma Management, Social Statistics and Social Survey Methods, Sample Survey, Statistics** and Decision-making, Practical Statistical Analysis of Financial Markets, Mathematical Finance and Financial Investment, etc.

Statistics for sure.

The reason starts with the nature of the discipline of accounting. To put it bluntly, accounting is to manage money, do accounts, and help enterprises achieve the best capital allocation arrangement, minimize taxes and maximize profits.

Finance, on the other hand, is the study of various economic phenomena at the macro and micro levels. The financing arrangement of enterprises, tax profits, and so on are just one of the economic phenomena.

Statistics and science tend to focus on mathematics and have high requirements for mathematics. It has a solid foundation in mathematics and is very helpful for the study of finance. The study of financial problems should not only be qualitative research, but more importantly, quantitative digital research.

Statistics is very good for financial research.

If you don't believe it, you can find some financial research reports on the Internet to study and study, and you will find that most of them use various complex statistical methods to analyze problems. Sometimes it also involves the analysis of some accounting statements, but not much, and does not involve in-depth research. In-depth analysis and study of accounting statements, which is done by accounting graduate students.

In fact, the intersection of statistics and various other disciplines is very powerful, so there are many graduate majors suitable for the undergraduate background of statistics

1.For example, if you want to engage in the financial industry, in fact, those who do quantitative investment now will recruit a lot of people with statistics backgrounds, and the requirements for whether the master's degree is finance are actually not high, you can take a CFA, CPA or take some financial statistics courses to understand. After graduating with a master's degree in mathematical statistics, you can also go to a pharmaceutical company or some quantitative consulting company.

2.Transferred to financial engineering, quantitative economics, econometrics and other interdisciplinary disciplines of statistics and finance. In fact, there are not many statistics used in financial engineering, mathematics is mainly based on probability theory and stochastic processes, but in view of the development status of the domestic derivatives market, in fact, this kind of financial engineering courses will also involve a lot of quantitative analysis, and many of the work that will be engaged in in the future will also be related to statistics.

For example, quantitative stock selection, statistical arbitrage, etc.

3.Transferred to marketing, psychology and other behavioral science disciplines. Marketing, especially the study of consumer behavior that combines psychology, behavior and other disciplines, uses a large number of statistical models, and this field has developed rapidly over the years, and I personally find it very interesting to study this major.

However, I don't know what the level of quantitative research in marketing departments in China is at present.

4.Computer, artificial intelligence, pattern recognition, machine learning, data mining, business intelligence, this field is also very hot now, and the application prospects are also very wide, including automation, bioinformatics, financial quantitative trading, etc., are now using a large number of so-called artificial intelligence machine learning algorithms. Many of them are done by computer scientists, but a large number of models and algorithms are used in statistics, especially the theory of multivariate statistics.

Therefore, the theoretical part is not a problem for people who study statistics, but it may be difficult to write **, data structures and algorithms.

Yes, you can take a master's degree in finance or a master's degree in statistics.

Politics, English II, Mathematics III, Major, Finance or Statistics.

Xicai has a ** college, and the employment is quite good.

Probability theory and statistics are the foundation of the current hot artificial intelligence.

If you are not a student who is particularly interested in data analysis, it is recommended not to study a very boring subject; In addition, after graduating from the statistics graduate school around me, most of them went to teach in second- and third-rate universities, or went to public institutions, such as the Bureau of Statistics or something, and the scope of employment is not as wide as finance, so the landlord thinks clearly!

The first thing you need to look at is what is the main research direction of your school's statistics teacher. This is the crux of the matter.

If the direction of the statistics teacher and the subject project are production statistics, then it is easy to distinguish between the two graduate directions of statistics and finance. Because one is production statistics and the other is finance, which is not very relevant. You choose according to your interests and recent employment situation.

If the direction of the statistics teacher's research and the subject project are economic statistics, then the two directions of "two graduate directions, statistics and finance" are related. Statistics is a powerful and important tool in financial research, and many financial projects need to rely on statistical methods for in-depth analysis. Many models in finance require the use of statistics.

Personally, I think that if you choose statistics, you will have an advantage over students majoring in economics during your graduate studies than students majoring in general finance.

Speaking of the fact that you studied mathematics during your undergraduate years, this is very helpful for the study of statistics. Graduate students in statistics have higher requirements for mathematics, which are higher than those in finance.

Statistics and mathematics are a little related, and in finance, it's not very big. The main thing is interest.