1. Stanford University Master of Mathematics and Computational Finance 20 14 Fall Setup. The Master of Computational and Financial Mathematics took over the Master of Financial Mathematics from the original School of Humanities and developed on the basis of the original project, but the professor was still an excellent professor in the original project to teach.
Compared with the original financial mathematics project, the requirements of this project will change slightly. The learning content will include more data science and computer content, and it will also involve the learning content of modern financial mathematics and analysis. If students complete a master's degree in mathematics and computer finance from Stanford University, they will also receive a master's degree in computer and mathematical engineering and a school project completion certificate.
The Master of Mathematics and Computational Finance is an interdisciplinary program, offering studies in applied mathematics, computational mathematics, statistics and other fields. Provide higher education for financial applicants with strong mathematical background. Students with the above good mathematics background will be more capable of completing this project.
ICME (School of Computing and Mathematics) is closely related to mathematics, management science, engineering and statistics, and provides many basic courses for study.
The MSCF project of computational finance of Carnegie Mellon University is a pioneer of American financial engineering and has a long history. The academic system of MSCF is one and a half years, which is below the top 20 Tepper Business School. MSCF has two teaching areas, one in Pittsburgh (headquarters) and the other in new york (distance learning). Two districts and one * * * enroll more than 70 students.
2. Carnegie Mellon computer finance major was established in 1994, and its main research content is quantitative analysis and information technology knowledge. Carnegie Mellon University ranks first in the United States in computer major, Stanford and Mali, and its mathematics major is also very famous, and its business school is also the strongest in the United States. Computer finance, which combines the three characteristics, naturally becomes a strong specialty with outstanding statements. Many professors in this major are top experts in this research field.
Carnegie Mellon University pays more attention to computer programming and financial practice, and it is one of the best courses among all MFE majors. I like students with good computer background, attach importance to work experience, and interview applicants, so it is difficult to apply. His family is slow in reviewing materials and has many rounds.
3. Purdue University has two master's programs in computational finance:
1. Master of Mathematics in Computational Finance
The project is located under the department of mathematics, with a two-year academic system, full courses and scholarships. Purdue University attaches great importance to computational finance, which can be seen from its MS, PhD and MBA programs. This project is quite famous, but the geographical location of the school is relatively general.
Application conditions: TOEFL requires a minimum score of 77, reading requirements are not less than 19, listening requirements are not less than 14, and writing and speaking requirements are not less than 18. IELTS requires a minimum score of 6.5. GPA requires above 3.0, and GRE scores are required.
Application time: the deadline for application for spring semester is 65438+ 10/5, and that for autumn semester is 65438+ 10/5.
Employment orientation: Students in this major can engage in different occupations, including actuarial science, insurance, banking, finance and government employment agencies. They can also go on to pursue higher-level degree courses in law, business or medicine.
2. Master of Statistics in Computational Finance
This is another master's degree program in computational finance at Purdue University, which is located under the Department of Statistics and lasts for two years. At the end of the first semester, students need to submit an e-learning plan to the graduate school. There are scholarship opportunities. From the course observation, the difference between this project and the computational finance project under the Department of Mathematics lies in the comparison between statistics and demonstration.
Application conditions: TOEFL requires a minimum of 80 points, and the individual item is not less than 20 points. IELTS requires a minimum of 7.0. GPA requires above 3.0, and GRE scores are required.
Application time: the deadline for spring semester application is September 15, and the deadline for summer and autumn semester application is June 65438+ 10/5.
Employment orientation: you can engage in research or teaching after graduation; You can also continue to pursue higher-level degree courses; Can also be engaged in mathematicians, market research, financial analysis, computer statistics and other work. & amp#8205;