Finance-related majors have always been among the most popular choices for US graduate school applications. We are quite familiar with Financial Engineering, which is built on computer programming and mathematics. In addition, there is a rapidly growing emerging interdisciplinary field in recent years — Financial Mathematics, also known as Mathematical Finance, Quantitative Finance, or Analytical Finance. It is a cross-disciplinary field that uses mathematical tools to study finance, conducting quantitative analyses such as mathematical modeling, theoretical analysis, and numerical computation, aiming to discover the inherent laws of finance and guide practice. Compared to Financial Engineering, Financial Mathematics places greater emphasis on the application of mathematics in the financial domain, demanding a high level of mathematical mastery. Today, let's take a detailed look at the curriculum of Financial Mathematics programs, school recommendations, application requirements, and admission case studies. If you have other questions related to studying abroad, feel free to scan the QR code below for one-on-one consultation.
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I. Curriculum
The duration of Financial Mathematics programs is generally 1–2 years, and the main courses usually include:
Mathematical Analysis, Analytic Geometry, Advanced Algebra, Discrete Mathematics, Ordinary Differential Equations, Probability Theory, Mathematical Statistics, Econometrics, Mathematical Experiments, Mathematical Modeling, Financial Accounting, Finance, Microeconomics, Securities Investment, Macroeconomics, Corporate Finance, Financial Time Series Analysis, etc.
Specific course offerings vary by school.
II. School Recommendations
Johns Hopkins University (JHU) – Financial Mathematics
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Web Link: https://engineering.jhu.edu/ams/academics/graduate-studies/ms-in-financial-mathematics/
Curriculum:
JHU's Financial Mathematics (Financial Mathematics MSE) program is offered under the Department of Applied Mathematics and Statistics (AMS). The program is flexible in duration; students complete 12 courses within three or four semesters, and the academic pressure is relatively manageable. Moreover, aside from the required core and elective courses, students can basically choose any courses offered within the department, including PhD-level courses. Those who wish to pursue a PhD can also take PhD-level electives to strengthen their resumes.
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Application Requirements:
- Personal Statement
- Resume/CV
- Three Letters of Recommendation
- Official undergraduate English transcripts
- $75 application fee
- TOEFL and GRE scores
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Sample Offer:
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University of Chicago – Financial Mathematics
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Web Link: https://finmath.uchicago.edu/
Curriculum:
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The program includes core courses in financial management, computing, markets, trading and investment, as well as a selection of economics and finance-related electives, spanning a total of five quarters of study. To better prepare students for employment, a Project Lab is offered, allowing students to collaborate with industry partners on research projects from their companies. The Project Lab is a 10-week collaborative project, with each team consisting of 3–5 students and supported by a faculty advisor. Students can gain valuable industry experience in advance through this initiative.
Application Requirements:
- Resume/CV
- Three personal statements
- Three letters of recommendation
- Two video statements
- Transcripts
- English language proficiency scores (TOEFL minimum 90 or IELTS minimum 7)
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Sample Offer:
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Additionally, top schools like Penn, Columbia, UCB, and NYU also offer Financial Mathematics programs that are well worth applying to.
III. Career Directions
The employment prospects for Financial Mathematics graduates are quite promising. They primarily work in industries such as finance, the internet, and new energy. World-renowned companies like Goldman Sachs, Morgan Stanley, Citigroup, and Bank of America all recruit Financial Mathematics graduates.
Examples of Job Positions:
1. Data Analyst
2. Product Manager
3. Data Mining Engineer
4. Risk Control Director
5. Data Analysis
6. Senior Data Analyst
7. Data Analysis Specialist
8. Quantitative Researcher
For more graduate application details and admission cases, feel free to scan the QR code below for consultation~
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