To answer this question, first explain why metalworking appears. In fact, it is very simple, that is, finance should be linked to computers, but those who only do finance do not understand computers, and those who only learn computers do not understand finance. What shall we do? A financial engineering, so financial engineering is a comprehensive subject. Similar to business data analysis, business data analysis combines statistics, computers and business; Financial engineering is a combination of advanced mathematics, computer and finance. So you can see from the elements contained in this major that there must be a big difference between financial engineering and financial curriculum design.

Let's talk about the curriculum of finance major first. You may think Baidu is enough, but do you still need it? Ha, you need it. What I want to say is not what Baidu is looking for casually, but a very true story. Financial courses offered by different schools. Don't! One! Sample! Moreover, some schools say that setting up finance, curriculum design is fundamentally economic! (Although economics must be studied in finance, economics should not be the main course; Just like in CFA, the economy is just a module), especially for some financial schools (I mean the ranking of financial majors), you think it is very high, although it is 985,211. Actually, it's not. The curriculum design is bad, and no teacher can talk about some advanced measurement courses.

A friend of mine who went to Xiamen University for an exchange said that they all used foreign textbooks, and the undergraduate course was about intermediate macroeconomics, which was completely different from her own 985 and 2 1 1 university. Now I'm taking the postgraduate entrance examination, and then I think I have a lot to make up, because the university she was admitted to also teaches intermediate macroeconomics by default. So I want to say, if you choose a major in finance, you really need to go to a school that focuses on finance, otherwise you will need to study by yourself in the future.

Then make up the courses you can find:

Insurance, finance, international finance, international trade, securities investment, monetary banking, econometrics, investment banking, macroeconomics, statistics, central banking, political economy, microeconomics, accounting, financial law, linear algebra, probability theory and mathematical statistics, calculus, investment risk management, etc.

Because I applied for quantitative financial and business data analysis in the United States and Canada, I also copied their curriculum from the websites of foreign universities. The following are the finance courses offered by Princeton University (Princeton University ranks first in the United States). Don't spray me if the ranking you see is different from mine. Everyone knows that ranking is metaphysics, just know the numbers in your heart.

The project has five core courses:

Asset Pricing I: Pricing Models and Derivatives (Asset Pricing I: Pricing Models and Derivatives)

Statistical analysis of financial data (statistical analysis of financial data)

Corporate Finance and Financial Accounting (Corporate Finance and Financial Accounting)

Asset Pricing ii, Stochastic Calculus and Advanced Derivatives (Asset Pricing II: Stochastic Calculus and Advanced Derivatives)

Financial econometrics (financial econometrics)

This project has three branches: this probably means that students need to choose some elective courses from these angles.

Financial Engineering and Risk Management (Financial Engineering and Risk Management)

Quantitative asset management and macroeconomic forecasting (quantitative asset management and macroeconomic forecasting)

Data science and technology. Financial technology (data science and financial technology).

Then talk about financial engineering. In addition to the financial foundation, financial engineering should also establish mathematical models and programming, but in fact, according to the level of different schools and the direction of cultivating students (anyway, I think it has something to do with the school background, and the engineering background is basically biased towards financial code farmers; If it is a financial business, it is basically biased towards financial product design. There are also differences in metalworking courses.

Because metalworking can not only become a financial product design, but also be similar to the feeling of programmers and product managers. Therefore, some schools may focus on financial+mathematical models and product design; Some schools may focus on code programming and train code farmers in the financial field. You should know which direction you are interested in.

I'm here to supplement the course of financial engineering in new york University (the sixth in the United States). Don't spray me if the ranking you see is different from mine. Who doesn't know that ranking is metaphysics? Everyone just needs to know the numbers.

Core courses (15 credits)?

Financial accounting financial accounting

Economic basis in finance

Quantitative methods in finance financial quantitative methods

Corporate finance corporate finance

Financial Risk Management and Asset Pricing Financial Risk Management and Asset Pricing

Elective course (6 credits)?

Money banks and financial markets money banks and financial markets

Investment banking and brokerage business

Applying derivative contracts Applying derivative contracts

Derivative algorithm

Asset-backed securities and securitization

The New Basel Accord. Bank Asset Management Basel 3 and Bank Asset Management

Special topics in financial engineering

Special topics on finance and financial markets

Special topic of risk finance I financial risk I

Special topics on finance and risk engineering

Special topics on finance and risk engineering

To sum up, domestic metalworking, like emm, seems to be research-oriented, so I won't comment. Of course, there are also masters now. Many foreign financial institutions have also begun to require students to learn python and quantification, but it is not in-depth, and the core is finance; In addition to financial fundamentals, financial engineering also has a large number of mathematical models and programming courses.

If you have any questions, please comment. Usually because of learning R and python, you may reply slowly. Please forgive me.

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