Hi everyone,
I am a math and stat student from Canada graduating this year.
I got admissions from both Financial engineering master and computer science master.
One is at u of waterloo and another is from u of toronto.
My interest in quantitative finance is mostly about portfolio management or quantitative trading.
Waterloo has a very decent program but most of its courses works are focused on math. ( I have already taken numerous courses on probability and financial models in graduate levels )
However, in computer science, I can learn stuffs like topics in machine learning and databases in more details with some additional stat courses.
Both programs have internships ( waterloo has 4 months and toronto has 8 months).
Considering my interest in quantitative finance, I believe that going to waterloo will be a better choice but
when I think of the materials that I can learn, I am more to computer science master.
So, I want to shared everyone's opinion.
Any advices will be very helpful.
Thanks!
I am a math and stat student from Canada graduating this year.
I got admissions from both Financial engineering master and computer science master.
One is at u of waterloo and another is from u of toronto.
My interest in quantitative finance is mostly about portfolio management or quantitative trading.
Waterloo has a very decent program but most of its courses works are focused on math. ( I have already taken numerous courses on probability and financial models in graduate levels )
However, in computer science, I can learn stuffs like topics in machine learning and databases in more details with some additional stat courses.
Both programs have internships ( waterloo has 4 months and toronto has 8 months).
Considering my interest in quantitative finance, I believe that going to waterloo will be a better choice but
when I think of the materials that I can learn, I am more to computer science master.
So, I want to shared everyone's opinion.
Any advices will be very helpful.
Thanks!
