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Johns Hopkins University - Financial Mathematics MSE

Johns Hopkins University - Financial Mathematics MSE

Financial Mathematics MSEprogram at Johns Hopkins is offered under the Whiting School of Engineering

Reviews 4.56 star(s) 9 reviews

Headline
Strong math program
Class of
2025
Big focus on mathematics!

Lots of math-heavy tests and assignments. A few cool opportunities to work on research projects. Reasonably good on finance like exotic derivatives and whatnot. Would like it if there was more computer science! Also career services could be better.
Recommend
Yes, I would recommend this program
Students Quality
5.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
Headline
Mathematically rigorous, top notch professors
Quality of program has increase significantly in the last 3-5 years, more variety of backgrounds and outcomes now. Program head professors are top notch. One of the more mathematically rigorous of all MFE programs.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
  • Anonymous
  • 5.00 star(s)
A) Prof. John Miller: Courses on Time series, Equity derivatives, Fixed income, Algorithmic and quantitative trading. He's really brilliant and has very good experience (was CRO of Credit Suisse)
B) Prof. David Audley: Courses on risk modelling, fixed income, derivatives are very well explained.
C) Prof. Maxim Bichuch: Courses on stochastic calculus, investment science are absolutely fantastic. After all, his PhD was supervised by Prof. Steve Shreve
The career center does an amazing job of placing graduands in many firms like Two sigma, Morgan Stanley, JP Morgan etc. Overall, the program is highly underrated!
Professors are extremely responsible. It must be better! This year more practical coding courses were added. I like John Miller's class!
Believe it or not! John Miller gonna make jhu FM even better, the best professor I have ever meet, answer questions hand by hand, he has great trader experience, teach you experience plus academy.
potential, must be ranked higher later. x
Strong resources in engineering and mathematics/statistics.
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