Financial mathematics is more about creating models, while financial engineering is about creating models through programming. Therefore, when we look at the professional curriculum, we can also find that the courses of financial mathematics are mostly mathematical courses (such as randomness, time series, measurement, etc. ), and financial engineering is more computer-oriented courses (such as R data mining, C++, etc.). ).

Financial mathematics is the application of modern mathematics and computing technology in the financial field. It introduces complex mathematical analysis, computer technology, information technology, automation technology and system engineering into the financial field, which makes the financial and even the whole economic field have a broader extension and connotation. It is one of the most active frontier disciplines at present. Therefore, it is usually necessary to have a certain academic background, such as mathematics, computer, physics, statistics, engineering and so on.

Employment direction of financial mathematics:

Mainly concentrated in the financial field, with a wide range of industries, they are basically employed by major commercial banks and international investment banks, fund management companies, insurance companies, venture capital companies and multinational companies, with high income. Financial Mathematics is a professional who provides quantitative financial analysis ability for the financial industry.

Students will also rank British schools when applying for the amount, and most of them will be divided into three types of applications:

Step 1: LSE, Imperial College, KCL (Niu Jian is not considered here for the time being).

Step 2: Warwick, Edinburgh, Manda, etc.

The third step: York, Leeds, Birmingham, etc.