I've been admitted to all 3 of the above programs and am struggling to make up my mind.
Things to consider:
- I want to work in either NYC, Chicago, or Toronto out of university.
- I am Canadian.
- My background is an undergrad in Pure Mathematics
- I've been working for the better part of a year in ERM Risk Modelling for an insurance company.
- I'm a sociable person and would like to end up in an interactive/team roll, not just sitting at a computer programming all day.
Things I like about each program:
- NYU Tandon: Peter Carr has been putting in work since he got there and it's beginning to show. The program itself is very diverse and the small class size will lead to a lot of 1-on-1 time with professors. Location is prime for someone trying to land a job in NYC. Scholarship.
- UCLA Anderson: The program is run by the business school. The MFE specific admissions team personally accepted me, as opposed to a general acceptance from the other schools. The feeling I get is that they will work with me to guarantee my employment after the program, and the name "UCLA" will help.
- Imperial: It's Imperial.
Things that concern me:
- NYU Tandon: The lack of screening process for the application; no interview, no explicit English requirement other than a TOEFL score, no direct interaction with me until my acceptance. This leads me to believe that students were only accepted because they met some meaningless criteria (i.e 165+ Quant score, 3.5+ GPA, etc..).
- UCLA Anderson: The large incoming class size, that is going to be split into two cohorts of ~40 students each. The location given where I want to work. The lack of electives in the program, however I do like the required internship.
- Imperial: Also the location, and whether the international aspect makes me desirable to employers.
Any advice is greatly appreciated.
Things to consider:
- I want to work in either NYC, Chicago, or Toronto out of university.
- I am Canadian.
- My background is an undergrad in Pure Mathematics
- I've been working for the better part of a year in ERM Risk Modelling for an insurance company.
- I'm a sociable person and would like to end up in an interactive/team roll, not just sitting at a computer programming all day.
Things I like about each program:
- NYU Tandon: Peter Carr has been putting in work since he got there and it's beginning to show. The program itself is very diverse and the small class size will lead to a lot of 1-on-1 time with professors. Location is prime for someone trying to land a job in NYC. Scholarship.
- UCLA Anderson: The program is run by the business school. The MFE specific admissions team personally accepted me, as opposed to a general acceptance from the other schools. The feeling I get is that they will work with me to guarantee my employment after the program, and the name "UCLA" will help.
- Imperial: It's Imperial.
Things that concern me:
- NYU Tandon: The lack of screening process for the application; no interview, no explicit English requirement other than a TOEFL score, no direct interaction with me until my acceptance. This leads me to believe that students were only accepted because they met some meaningless criteria (i.e 165+ Quant score, 3.5+ GPA, etc..).
- UCLA Anderson: The large incoming class size, that is going to be split into two cohorts of ~40 students each. The location given where I want to work. The lack of electives in the program, however I do like the required internship.
- Imperial: Also the location, and whether the international aspect makes me desirable to employers.
Any advice is greatly appreciated.
