Hi,
First of all, thanks all for giving me advice last time when I posted here. I think you guys are really awesome.
I applied for part-time study in Mathematics of Finance in Columbia, MSCF in CMU and Financial Math in NYU. Fortunately, I got admissions from all of them. Just trying to decide which one to go. I understand there are a few posts discussing about this already. Just would like to throw in my background and listen from you based on it.
I have a master in applied math, but not major in stats. And I've been doing quant developer for ~4.5 years with an algo trading team. I would like to move more towards trading and business side after the study.
I've talked with different people already and did some my own homework and found the following.
CMU:
good:
* in business school.
* broad coverage
* seems it's better recognized than NYU?
bad:
* 4 programming courses.
* not much exposure to algo trading and optimization theory
* too expensive
* curriculum is not flexible (i.e. must take 2 and only 2 courses in each mini-semester)
NYU:
good:
* curriculum is flexible (can take at own pace)
* cheaper than CMU
* more exposures to algo trading and optimization theory
bad:
* not in business school
* seems it has smaller graduate base and less recognized than CMU?
* quite heavy math (which may be good).
Like I said, I'm thinking about moving more towards trading/business side. This seems justifies CMU.
Given my experience in algo trading, I don't want to throw it away. This seems justifies NYU.
I'm kind of more inclined to NYU partly due to its cheaper tuition fee since I have to pay out of my own pocket. Is it possible to get a desk strats position after studying NYU and then move to a trading position later? Or, you guys think taking CMU directly will be worth of it?
Thanks again for your inputs.
First of all, thanks all for giving me advice last time when I posted here. I think you guys are really awesome.
I applied for part-time study in Mathematics of Finance in Columbia, MSCF in CMU and Financial Math in NYU. Fortunately, I got admissions from all of them. Just trying to decide which one to go. I understand there are a few posts discussing about this already. Just would like to throw in my background and listen from you based on it.
I have a master in applied math, but not major in stats. And I've been doing quant developer for ~4.5 years with an algo trading team. I would like to move more towards trading and business side after the study.
I've talked with different people already and did some my own homework and found the following.
CMU:
good:
* in business school.
* broad coverage
* seems it's better recognized than NYU?
bad:
* 4 programming courses.
* not much exposure to algo trading and optimization theory
* too expensive
* curriculum is not flexible (i.e. must take 2 and only 2 courses in each mini-semester)
NYU:
good:
* curriculum is flexible (can take at own pace)
* cheaper than CMU
* more exposures to algo trading and optimization theory
bad:
* not in business school
* seems it has smaller graduate base and less recognized than CMU?
* quite heavy math (which may be good).
Like I said, I'm thinking about moving more towards trading/business side. This seems justifies CMU.
Given my experience in algo trading, I don't want to throw it away. This seems justifies NYU.
I'm kind of more inclined to NYU partly due to its cheaper tuition fee since I have to pay out of my own pocket. Is it possible to get a desk strats position after studying NYU and then move to a trading position later? Or, you guys think taking CMU directly will be worth of it?
Thanks again for your inputs.