I'm wrapping up my third year of undergrad here at the University of Toronto. My undergrad is in Industrial Engineering with an Operations Research focus and I'm completing a business minor as well. I'm interested in a career change to a quant because I realized the career prospects (Supply Chain/Logistics/IT) for IE isn't really for me and I feel that my undergrad has a few overlaps with what's required of this program, but currently I'm not sure if the courses that I've taken will prepare me well if I choose to attend an MMF program (I'm currently looking at UofT's MMF program). My current cGPA is around 3.7 on a 4.0 scale, but I have done well in my previous quantitative courses (a few of the engineering communication and physics courses have dropped my GPA a fair amount).
In terms of math courses, here's what I've taken thus far:
As you can see most of the math (statistics) courses that I've taken are more targeted towards a manufacturing setting, and not finance/risk. I would also tend to think my programming background is a bit weaker than the typical applicant, as I've seen through LinkedIn there are quite a few students that come from grad school backgrounds, in addition to the usual students who come from a Math/CS background.
My main question would be how disadvantaged would I be going into a MMF program with this background and how I can better prepare myself not only in terms of coursework, but other things that are considered in the application. I think it would be great if someone could share their story while in school for MMF in terms of workload and classes per month, etc.
Thanks.
In terms of math courses, here's what I've taken thus far:
- Calculus I/II
- Differential Equations
- Applied Linear Algebra (very introductory)
- Probability
- Statistics (Regression, ANOVA, Experimental Design, etc.. basic stuff)
- Computer Simulation (used @Risk for Excel)
- Deterministic Optimization (Linear Programming)
- A split course on game theory and introduction to stochastic processes/queueing theory
- Supply chain forecasting, statistical quality control
- Numerical methods
As you can see most of the math (statistics) courses that I've taken are more targeted towards a manufacturing setting, and not finance/risk. I would also tend to think my programming background is a bit weaker than the typical applicant, as I've seen through LinkedIn there are quite a few students that come from grad school backgrounds, in addition to the usual students who come from a Math/CS background.
My main question would be how disadvantaged would I be going into a MMF program with this background and how I can better prepare myself not only in terms of coursework, but other things that are considered in the application. I think it would be great if someone could share their story while in school for MMF in terms of workload and classes per month, etc.
Thanks.
