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- 2/25/14
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Hi all. I've been reading posts on this forum for a long time, but this is my first time asking a question. I appreciate all your help and advice 
I got offers from Stanford and Columbia. By Stanford ICME I mean MS Mathematical & Computational Finance Track, and Columbia MSFE is MS in Financial Economics at Columbia Business School.
Besides the fact that both are prestigious programs, I list the pros and cons as follows:
Stanford ICME
pros:
1. top brand name
2. CA's weather and living environment
3. more focus on solid subjects like math and computer science
4. small class (15 people)
5. most professors are super-stars in finance
6. potential to continue with a PhD
cons:
1. away from NY
Columbia MSFE:
pros:
1. even smaller class (12 people)
2. extremely supportive faculty and placement
3. great location and alumni network
cons:
1. not that quantitative-orientated (more finance and MBA courses)
2. NY is coooooold....
A little about myself: I'm an undergrad graduating with dual degrees in math and finance. I want to go to industry, and prefer to having a solid training in math and computer science. Quant may be a good starting point, but I wish finally end up working in hedge funds/PE.
As personal experience, I feel that math and computer science is more critical than pure finance or economics. However, the courses offered in Columbia are more finance-focused, which I personally feel less challenging than math (just think about how beautiful is functional analysis or harmonic analysis!)
Sadly, by far I really don't know much about the industry(no intern experience in US) besides what I read in news and classes... ;(
Thanks for your reply.

I got offers from Stanford and Columbia. By Stanford ICME I mean MS Mathematical & Computational Finance Track, and Columbia MSFE is MS in Financial Economics at Columbia Business School.
Besides the fact that both are prestigious programs, I list the pros and cons as follows:
Stanford ICME
pros:
1. top brand name
2. CA's weather and living environment
3. more focus on solid subjects like math and computer science
4. small class (15 people)
5. most professors are super-stars in finance
6. potential to continue with a PhD
cons:
1. away from NY
Columbia MSFE:
pros:
1. even smaller class (12 people)
2. extremely supportive faculty and placement
3. great location and alumni network
cons:
1. not that quantitative-orientated (more finance and MBA courses)
2. NY is coooooold....
A little about myself: I'm an undergrad graduating with dual degrees in math and finance. I want to go to industry, and prefer to having a solid training in math and computer science. Quant may be a good starting point, but I wish finally end up working in hedge funds/PE.
As personal experience, I feel that math and computer science is more critical than pure finance or economics. However, the courses offered in Columbia are more finance-focused, which I personally feel less challenging than math (just think about how beautiful is functional analysis or harmonic analysis!)
Sadly, by far I really don't know much about the industry(no intern experience in US) besides what I read in news and classes... ;(
Thanks for your reply.