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Statistics / Data Science Masters - compensation for some math issues


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I graduated a few years ago with a Statistics/Finance major. Here are my math-related issues:

(1) I never took multi-variable calculus (I had a working understanding from high school, so just decided to skip it)

(2) I took Linear Algebra, but got a B (it was senior year second semester and my priorities changed a little... regretting it now)

However, here are some redeeming factors:

(1) I took courses in Probability, Stochastic Processes, Intermediate Statistics (all of which had multi-variable and/or lin alg as a pre-req), and got an A in all.

(2) Summer internship at a top quant hedge fund as a research analyst, job after graduating at a top prop shop as an assistant trader, and a current role as a trader in a smaller prop shop - did projects in all of them that require a working understanding of multi-variable and linear algebra.

(3) TA'd an intro proof-based discrete math course in the comp sci department, in which I got an A (professor has committed to writing a strong letter).

 

I am concerned that I might be dismissed, especially by top programs, simply because multi-variable calculus doesn't appear on my transcript, and I got a B in linear algebra. Do you think the redeeming factors are redeeming at all? I am also considering taking the Math Subject Test GRE if it helps make my case - I know what the topics/questions are like and am pretty sure I can do pretty well given some studying. Any honest feedback is appreciated!

Edited by applymapit
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"top quant hedge fund"--with only this, you can get into some of the top MFin programs such as Berkeley, Columbia and CMU. Of course, those are just cashcow programs but you also get the chance to talk to top profs at those schools, which will lead to some opportunities.

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