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- 10/1/23
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Per the title, just want to have some opinion on which program I should attend. My thoughts are below, and I will try to make it brief. P.S. I don't have all the offers yet, but would like to have input from the community anyway. I think this is beneficial for everyone who are interested in these programs as I am compiling all the posts and opinions I have seen from different sources under this thread.
I will keep updating this thread as reviews come in.
Cornell MFE:
Pros: I think it's fair to say that the career service is the best among the three. You can obtain a financial data certificate by enrolling in certain courses. Program placement for summer internship if you can't find any. Flexible course structure and decent course quality as well. Much smaller class size than other same tier programs. I have also heard the least amount of criticism from students doing this program. Capstone project also gives you a chance to work with finance companies for experience. Employment rate at graduation is at 75%, comparable to CU MAFN.
Cons: I've studied at Cornell for several weeks and didn't enjoy my time in Ithaca. 1 year in Ithaca and a semester in NYC (end up in NYC but start in Ithaca)
Columbia MFE:
Pros: Probably the best title among the three. It's in New York City, so lots of resources and don't need to relocate like Cornell MFE. Courses are mostly rigorous. You can enroll in certain courses in the summer where the professor "outsources" quant projects from financial companies to you (note: you don't get paid). Employment rate U.S. only is at 98%, better at securing a job in the U.S.?
Cons: Career service is known to suck (no offense to the program, but this is what I heard from many current students/alumns). I have heard this from multiple current/prospective students. Tutors even use ChatGPT to edit resume and such. Faculty quality and course difficulty are a hit or miss (not confirmed but I have some complaints)? Employment at graduation is the lowest among the three programs, which is a significant difference compared with U.S only stats.
Columbia MAFN:
Pros: I don't know any advantages compared with the 2 programs above, but it used to be ranked the highest in 2023 but slipped in 2024. Would appreciate input for this part. Employment rate at graduate is similar to Cornell at 76%.
Cons: Career service sucks as well (again, no offense to the program), but appears to be a little better than the MFE program. However, placement is not too different from the MFE program as the MFE program is "better" is what I heard. Most classes take place at night...?
Finally, a little background about me. International student in top 30 U.S. university, studying finance and data science. I have some background in math and coding in Python and R but not as much as someone who majors in math and CS (advanced cal, linear algebra, machine learning, etc). Open to quant trading/research/portfolio management. Have not fully determined whether I want to do p quant or q quant yet but more inclined to p quant. I'm not too concerned with costs of living.
I will keep updating this thread as reviews come in.
Cornell MFE:
Pros: I think it's fair to say that the career service is the best among the three. You can obtain a financial data certificate by enrolling in certain courses. Program placement for summer internship if you can't find any. Flexible course structure and decent course quality as well. Much smaller class size than other same tier programs. I have also heard the least amount of criticism from students doing this program. Capstone project also gives you a chance to work with finance companies for experience. Employment rate at graduation is at 75%, comparable to CU MAFN.
Cons: I've studied at Cornell for several weeks and didn't enjoy my time in Ithaca. 1 year in Ithaca and a semester in NYC (end up in NYC but start in Ithaca)
Columbia MFE:
Pros: Probably the best title among the three. It's in New York City, so lots of resources and don't need to relocate like Cornell MFE. Courses are mostly rigorous. You can enroll in certain courses in the summer where the professor "outsources" quant projects from financial companies to you (note: you don't get paid). Employment rate U.S. only is at 98%, better at securing a job in the U.S.?
Cons: Career service is known to suck (no offense to the program, but this is what I heard from many current students/alumns). I have heard this from multiple current/prospective students. Tutors even use ChatGPT to edit resume and such. Faculty quality and course difficulty are a hit or miss (not confirmed but I have some complaints)? Employment at graduation is the lowest among the three programs, which is a significant difference compared with U.S only stats.
Columbia MAFN:
Pros: I don't know any advantages compared with the 2 programs above, but it used to be ranked the highest in 2023 but slipped in 2024. Would appreciate input for this part. Employment rate at graduate is similar to Cornell at 76%.
Cons: Career service sucks as well (again, no offense to the program), but appears to be a little better than the MFE program. However, placement is not too different from the MFE program as the MFE program is "better" is what I heard. Most classes take place at night...?
Finally, a little background about me. International student in top 30 U.S. university, studying finance and data science. I have some background in math and coding in Python and R but not as much as someone who majors in math and CS (advanced cal, linear algebra, machine learning, etc). Open to quant trading/research/portfolio management. Have not fully determined whether I want to do p quant or q quant yet but more inclined to p quant. I'm not too concerned with costs of living.
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