As the title states, I am a mathematics teacher at a local community college in my mid-30s. I would like to attempt a career change into becoming a quantitative analyst. I currently have a B.S. and M.S. in Mathematics from mid-tier state schools and my B.S. concentration was in mathematical statistics. However, my M.S. is focused on Math Education so I’m seriously considering going back for a second Master’s to increase my skillset. The three programs I’m looking at are:
1. Johns Hopkins - Applied and Computational Mathematics
This is what I’m most interested in as it would allow me to take more coursework in Stochastics as well as finance-related courses like Optimization for Finance. It does, however, worry me that it sounds almost identical to my previous Master’s on paper. Thesis option is available.
2. Georgia Tech - Computer Science
This would probably look the best in terms of degree title and school pedigree and would allow me to focus on machine learning. The lack of focus on programming skills worries me, even though that is to be expected from a theory-based program. Thesis option is available.
3. UPenn - MCIT
This is essentially a BS in CS with some advanced coursework, but would be the easiest way to get my object oriented programming skills up to par (I only know Python). No thesis option. The big plus side to this is that it gives me the ability to fall back into a software developer job if I can’t find a quant job.
I realise these are three distinctly different programs, but I’m unsure as to which one would provide the best boost to my resume. Any words of advice would be greatly appreciated.
1. Johns Hopkins - Applied and Computational Mathematics
This is what I’m most interested in as it would allow me to take more coursework in Stochastics as well as finance-related courses like Optimization for Finance. It does, however, worry me that it sounds almost identical to my previous Master’s on paper. Thesis option is available.
2. Georgia Tech - Computer Science
This would probably look the best in terms of degree title and school pedigree and would allow me to focus on machine learning. The lack of focus on programming skills worries me, even though that is to be expected from a theory-based program. Thesis option is available.
3. UPenn - MCIT
This is essentially a BS in CS with some advanced coursework, but would be the easiest way to get my object oriented programming skills up to par (I only know Python). No thesis option. The big plus side to this is that it gives me the ability to fall back into a software developer job if I can’t find a quant job.
I realise these are three distinctly different programs, but I’m unsure as to which one would provide the best boost to my resume. Any words of advice would be greatly appreciated.
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