• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

COMPARE Hesitation between NYU courant and columbia MAFN

Hello all,

I was hesitating between columbia mafn and nyu courant , the curriculum seems similar but I wondered why Columbia mafn seemed to get much lower employability statistics as well as why alumni seemed to be placed in much less "sexy" position then NYU courant. I am also attracted by the big-name Columbia brings in case I change industry
 
Hello all,

I was hesitating between columbia mafn and nyu courant , the curriculum seems similar but I wondered why Columbia mafn seemed to get much lower employability statistics as well as why alumni seemed to be placed in much less "sexy" position then NYU courant. I am also attracted by the big-name Columbia brings in case I change industry
Hi, congrats on making it to such great programs. I hope going through the following page helps you better understand the landing spots of Columbia Math of Finance program graduates - Mathematics of Finance at Columbia University - MAFN Career Landings

It should be clear from the above that Columbia MAFN graduates work at some of the most prestigious and innovative firms in the industry. Would also refer you to this discussion page for a better understanding of the course structure, electives etc - COMPARE - Columbia MAFN vs NYU Courant MathFin

Best of luck in making a decision!
 
I don't know enough about Columbia, but I can say I find the NYU Courant curriculum updates to be quite exciting.

Petter Kolm is doing important and useful work on applications of ML / DS to quant finance; many of the other programs have introduced ML / DS, but at a more introductory level. I think you'd get the solid foundation in Q-quant NYU is known for, and exposure to the latest in P-quants that might be less emphasized at other schools.
 
Top