MSE in Financial Mathematics (MSE FM)
A financial-mathematics engineering master combining mathematical modelling with computing and professional communication. Required practical components include an internship and an intensive financial-computing workshop.
What you’ll study
Core
- Introduction to Financial Derivatives
- Interest Rate and Credit Derivatives
- Applied Statistics and Data Analysis OR Introduction to Data Science
- Stochastic Processes and Applications to Finance
- Time Series Analysis
- Financial Computing Workshop
- Communication Skills Practicum
Electives
- Machine Learning in Finance
- Equity Markets and Quantitative Trading
- Quantitative Portfolio Theory and Performance Analysis
- Financial Engineering and Structured Products
- Advanced Equity Derivatives
- Monte Carlo Methods
- Industry Project Practicum
Source: engineering.jhu.edu ↗
Before you apply
- Background
- Bachelor’s degree; engineering, mathematics, science, finance or economics preferred
- Maths
- Multivariable calculus (recommended); Linear algebra (recommended); Differential equations (recommended); Probability and statistics (recommended); Two proof-writing courses (recommended)
- Programming
- Computer programming, for example C++ (recommended)
- Tests
- GRE not required
- Other
- Microeconomics and macroeconomics recommended
Source: engineering.jhu.edu ↗
After graduation
The programme doesn’t publish an employment report.
QuantNet’s 2026 ranking reports 2025 full-time graduating cohort: 63% employed at graduation; 75% employed three months after graduation employment and a US$117,500 reported compensation figure for the 2025 full-time graduating cohort. The table labels this “Base salary”; the methodology defines average starting salary and sign-on bonus. Components are not reconciled by the source; this is not a median. starting salary. See the ranking ↗
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- Johns Hopkins University – Financial Mathematics MSE: student reviews (QuantNet)
- Boston University MSMFT vs Johns Hopkins University FMMSE (QuantNet)
- Which is a better choice from the offers I have and why? (Reddit)
- QuantNet programme profile and reviews: Johns Hopkins University — MSE in Financial Mathematics (QuantNet)
The programme website gives occupational salary/growth figures rather than dated graduate-employment statistics.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.