Finance

The financial industry feels like a fight between gods and gods. There are countless top talents in various schools and majors. After all, the advantages of the financial industry are obvious, so there are too many outstanding people. , competition is also fierce.

Finance is a specialized subject and may require a better mathematical foundation, among which statistics is the first to bear the brunt. For example, financial engineering requires a better data foundation. But there is also a lot of professional content in finance, including some basic concepts, products, and many interesting subjects such as behavioral psychology.

Finance (including other business studies) is indeed a higher-level subject, and finance majors from non-prestigious schools are very competitive in the job market in the financial industry. Objectively speaking, financial professional knowledge is less difficult, the threshold for skills required for employment is lower, and it is more difficult to form a unique moat through one's own deep professional knowledge. This can partly explain why financial institutions tend to recruit graduates from prestigious schools, and it can partly explain why financial institutions tend to recruit graduates from prestigious schools. Explain why many people cross disciplines to study finance. Economic Statistics

To be honest, this is a very good major and it is very promising to learn now. But the problem with this major is that if you do big data and the like as mentioned above, I think you need to study for at least a master's degree, or even a Ph.D. College students can only study fur. In addition, the skills required for big data are computer skills. It includes databases, data structures, programming languages, and more. I think you can go to the library to find some similar books first to see if you can accept the difficulty and whether you are interested in programming or mathematics. Well, the statistics are not necessarily big data. Other statistics such as biometrics can also be used, although they are not very popular.

Statistics can definitely enter the ranks of the financial industry. The current applications of data analysis technology in the financial industry mainly include credit card credit scores and online finance. In other areas of finance, statistics has some similarities with mathematics, and of course programming is also important, probably similar to financial engineering.

Statistics is a highly technical major that requires sufficient knowledge of mathematics, quantitative analysis, and programming to support the individual. Therefore, relatively speaking (only relatively), students who graduate from statistics majors are not easily overtaken by students from other disciplines, and academic background is not so important. From the perspective of higher education, statistics majors have broad opportunities, whether they are taking the postgraduate entrance examination or going abroad. Employment issues

The following is what I know for your reference. Statistics and finance will have completely different career paths in the future. In addition to academic background, employment in the financial industry also depends on internship experience. Professional background is not too important. Regardless of whether the professional background is related to economics or not, students must have enough internship experience when looking for a job in order to find a satisfactory job. Since many of the skills required for operating in the financial industry are learned and accumulated in actual operations, if you want to work in the financial industry, you must make career plans early and start internships early. And if you choose to study statistics, the content of the internship may be less important, and academic performance, research experience and knowledge and skills may be more important.

In short, statistics is a "hard subject" and finance is a "soft subject". The nature of the subject is completely different, and the future employment paths are also very different. You also have to comprehensively consider your own interests, advantages and disadvantages, and independently make the best choice that meets your own wishes.