Johns Hopkins University - Financial Mathematics MSE

I have been enrolled for one month, and my study experience is very good. I believe this program is underrated. The lecturers are excellent, and the courses include a lot of math, which is a great complement to the courses I took during my undergraduate studies. I've heard that the program is particularly strong in the commodities, but I do hope the career services can give more resources and industry connections. Overall, I'm looking forward to growing with the cohort and making the most of what the program has to offer.

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.

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.

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.