I. Application requirements
To apply for a master's degree in financial engineering/financial mathematics, it is generally recommended that undergraduate majors in mathematics, computer and other mathematical sciences will have more advantages. In addition to the basic knowledge of finance and economics, the admission Committee pays more attention to the applicant's mathematical background and computer skills. The general requirements of the general prerequisite courses are calculus, differential equations, linear algebra, probability theory and mathematical statistics, and it is best to have a programming language (C/C++/Python, etc. ) skills.
Internship experience requires applicants to choose jobs related to financial engineering, learn the application ability of financial engineering methods such as quantitative trading/statistical analysis/strategy formulation/testing, and suggest choosing multinational companies if conditions permit. Generally, you need 2-3 in-depth internship experiences, and you need to pay attention to quality. It is best to participate in the core work, and the duration of each experience is more than 1 month.
Second, the project introduction
At present, the major of financial engineering/financial mathematics is generally set up under the mathematics department of business school, engineering college or liberal arts college. Financial engineering projects have many names in the United States, including financial engineering, financial mathematics, financial mathematics, computational finance and quantitative finance. They are often called MFE. MFE itself is a discipline project that pays great attention to quantitative ability, mainly including mathematics, computer, finance and statistics. The course has a strong flavor of science and technology. The tuition fee of the project is high, the educational system is short, and there is generally no scholarship. The duration is usually one and a half years.
Third, the employment situation
At present, 90% of government agencies and enterprises are equipped with full-time departments and personnel related to data analysis. Financial institutions, consulting companies, technology companies, Internet companies, medical industries, manufacturing enterprises, consumer goods industries, transportation industries, logistics, real estate and other fields have great demand for talents with analytical skills.
Common positions are data analyst, data analysis engineer, data miner, business analyst and project management analyst. The basic salary of graduates can reach $ 65k-95k per year, and graduates also have the opportunity to start businesses, such as setting up a data analysis company.