Advice on self-learning/reading before/during a Master's programme

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Hi guys,

I want to beef up my technical skills and I am hoping to be enrolled in an Applied Mathematics/Financial mathematics programme in October 2023. The work on my current job involves a mix of quant engineering (writing a framework/building a tool) and minor enhancements to models, for pricing simpler credit derivative products.

I had a lot of fun doing proofs in Analysis from Stephen Abbott's Understanding Analysis text. I also finished reading and working through the exercises in Steven Shreve Volume I - this was easy reading for me.

I can follow and work through the exercises in the book on Probability by Capinski, as I have some experience with analysis - doing epsilon-delta proofs, proving pointwise and uniform convergence, integrability.

Since time is finite, in the run-up to college, should I:

1) Follow through and continue working through the exercises in Capinski's book.
Or
2) Focus more on computational skills, self-teach and acquire green-belt/blue-belt skills in PDE and numerics for solving PDEs.

I understand that, both a strong probabilistic background and PDE-skills are important for a desk-quant.

Regards,
Quasar
 
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What's holding you back from moving into a more technical role within your current organization already now? Do you feel like you are actually lacking hard skills in order to work on the same topics as your colleagues? Are there internal barriers based on your education background? If neither of the two, then I don't see how the Masters degree helps for an internal move. An external move into a different role is generally harder.
 
@CrossGamma, Short answer (without mincing words) - lack of hard skills.

At the end of some solid coursework, and an interesting project/thesis, I would like to pivot to an entry-level role in the city.
 
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I think I mentioned this before but be aware that landing entry level roles becomes fairly difficult at a certain age, independent of whether you just graduated from a new degree or not.
 
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