Mathematical Finance Program at UofT

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Discussion Overview

The discussion revolves around the Mathematical Finance (MMF) program at the University of Toronto (UofT), focusing on its structure, costs, competitiveness, and personal experiences related to admissions and program outcomes. Participants share their perspectives on the program's value, potential financial implications, and alternative options.

Discussion Character

  • Debate/contested
  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants express positive views about the MMF program, highlighting its structure of one year divided into school and internship periods, and a reported 100% success rate in finding internships.
  • Concerns are raised regarding the high tuition of 40K, with some participants questioning the value and expressing feelings of being "ripped off" due to the costs and lack of internal funding.
  • Participants mention the competitive nature of the program, noting only 30 spots available, which raises concerns about admission chances.
  • Some participants compare UofT's program with similar offerings at other institutions, such as Schulich at York University, expressing uncertainty about which program may be better.
  • There are discussions about the relevance of university rankings, with some participants suggesting that they may not reflect the actual quality or outcomes of the program.
  • Concerns about the job market for graduates in mathematical finance are raised, with one participant noting a higher number of applicants than available jobs, leading to worries about taking on debt for the program.
  • Some participants share personal experiences and advice regarding preparation for university-level mathematics and physics, emphasizing the importance of problem-solving skills.

Areas of Agreement / Disagreement

Participants generally express mixed views about the MMF program, with some supporting its potential benefits while others raise significant concerns about costs and job prospects. No consensus is reached regarding the overall value of the program.

Contextual Notes

Participants discuss various assumptions about job placement rates and the competitiveness of the program, as well as personal financial situations that may affect their decisions. There are also references to the subjective nature of university rankings and personal preferences for institutions.

Who May Find This Useful

Prospective students considering the MMF program at UofT or similar programs, individuals interested in quantitative finance, and those evaluating the financial implications of graduate education in this field.

  • #31
MaxManus said:
My question to twoquant, if you do take mathematical finance and it is mostly mathematics and you take a couple of PDE courses, could you then work in the industry together with (continuum) mechanics people? Its both mathematics/differential equations?

There are dozens of different jobs in the industry. One reason that I'm not the best person to ask about jobs for masters of mathematical finance is that these tend to be somewhat different jobs than the one's physics Ph.D.'s go out for. If you've got a good program, then the people that run the program are talking to people in industry to see what is useful and what isn't.

The jobs I'm familiar with are mostly research ones. In that case, it's not what you know, but how quickly you can learn.
 
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  • #32
╔(σ_σ)╝ said:
Where you among the people who lost their jobs ? And how severe where the layoffs of "quants"(i.e 40%.. etc)?

Depends. There were massive layoffs in front office. No one in risk that I know got laid off. One thing that happened was that there were entire banks (e.g. Lehman) that went under in which most people got laid off.
 
  • #33
twofish-quant said:
Depends. There were massive layoffs in front office. No one in risk that I know got laid off. One thing that happened was that there were entire banks (e.g. Lehman) that went under in which most people got laid off.
That's good news for me since I am interested in risk.
In your opinion which "quant" jobs are more "layoff-proof" or recession proof?
 
  • #34
╔(σ_σ)╝ said:
Does anyone have an experience with the MMF program at UofT( University of Toronto)?

Any advice for me? Good or bad, I still want to hear it.

Someone I know, but with whom I have little contact (I'm in New Brunswick), finished this program. I have talked to him about it, but, unfortunately, I don't remember with certainty very much of what he said.

He graduated from the the U of T mathematics and physics program, and decided that the MMF program was a quicker and surer route to a good job than grad school.

He now has a related position in Toronto that I think he likes, and I think that he doesn't regret his decision.

Sorry that I can't remember more of the details.
 
  • #35
George Jones said:
Someone I know, but with whom I have little contact (I'm in New Brunswick), finished this program. I have talked to him about it, but, unfortunately, I don't remember with certainty very much of what he said.

He graduated from the the U of T mathematics and physics program, and decided that the MMF program was a quicker and surer route to a good job than grad school.

He now has a related position in Toronto that I think he likes, and I think that he doesn't regret his decision.

Sorry that I can't remember more of the details.

That's enough information. Thank you very very much.

At least now I have some sort of feedback about the program. Thank very much.
 
  • #36
twofish-quant said:
Rich people can get poor. Also one reason I like finance a lot is that I like to ask stupid questions that aren't that stupid. What is space? What is time? What is money? What is wealth? I go to the ATM, put in my card, and colored bits of paper come out. I take those colored bits of paper, and I give it to someone, and they give me a slice of pizza.

That's really bizarre. What *really* happens? As with most questions, the more you know, the less you understand. The more I think about time, the less I understand it. Same thing with money. But sometimes the most important thing to understand is how little you understand.

This is my favourite quote of 2011 so far...
 

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