Program Introduction
The Master of Science in Mathematical Finance program at Boston University is an interdisciplinary program that combines financial mathematics, computational methods, and statistical analysis to develop professionals capable of solving complex financial problems. The program is a collaboration between the Questrom School of Business, the Departments of Mathematics and Statistics, and Computer Science, providing students with advanced mathematical techniques and quantitative analysis skills necessary for financial theory and practice. This program has received STEM (Science, Technology, Engineering, and Mathematics) designation, allowing international students to benefit from up to three years of Optional Practical Training (OPT) after graduation. The program is designed to meet the demands of the financial industry, teaching advanced skills needed in areas such as derivative pricing, risk management, portfolio optimization, and algorithmic trading. Students learn to implement and test financial models with real data using cutting-edge financial software and programming languages (Python, R, C++, etc.). Additionally, the program provides networking opportunities with industry professionals and practical experiences, preparing graduates for successful careers in various financial sectors including investment banking, hedge funds, asset management firms, and regulatory agencies.
- Language of InstructionEnglish
- Program Length17 months
- Teaching MethodsOffline
- Core Mathematics Courses: Advanced mathematical courses that form the foundation of financial modeling, including probability theory, statistics, differential equations, numerical analysis, and optimization theory - Financial Theory Courses: Courses providing in-depth understanding of financial markets and products, such as asset pricing, derivatives analysis, fixed income securities, risk management, and portfolio theory - Computational Methodologies: Courses covering computational techniques necessary for implementing financial models, including financial simulation, algorithmic trading, computational finance, and machine learning applications - Programming Skills: Learning programming languages and software widely used in finance, such as Python, R, C++, and MATLAB - Practical Projects: Comprehensive projects based on real financial data and problems, allowing students to apply the skills they've learned - Financial Industry Seminars: Lectures and workshops by industry experts providing insights into current trends and practices in the financial industry - Elective Courses: Opportunities for deeper learning in specific areas of interest such as algorithmic trading, fintech, blockchain technology, and alternative investments
Quantitative Analyst
$100,000 ~ $140,000
Risk Manager
$90,000 ~ $130,000
Trading Strategist
$110,000 ~ $150,000
| Intakes | Application Deadlines |
|---|---|
| 2025 Fall | 2025-02-28 |
Admission Requirement
- GPANo Min Score
- GRE/GMATNo Min Score
90
7.0
- Online ApplicationRequired
- Undergraduate TranscriptRequired
- Resume or CVRequired
- Letters of RecommendationRequired
- Statement of PurposeRequired
- Interview Optional
Required if invited
- Certified English Test Score ReportRequired
- GRE / GMATOptional
Fees and Funding
$66,670/Year
$15,450/Year
$125