- Joined
- 8/18/14
- Messages
- 1
- Points
- 11
Hi there, long time lurker here
I've had a successful albeit unstimulating career in IT for the past 5 years, working for reputable companies with varying roles in software development, solutions architecture, and tech pre-sales/consulting. I would like to redirect myself into a quant developer role via a MS in quantitative/computational finance (I still enjoy being a programmer).
I have a BSc in CS with weak GPA (C), MSc in CS with decent GPA (A-) - got into my MSc program by leveraging strong academic and work referrals.
Since I'm pretty late to the game with respect to application deadlines, I was wondering how I should proceed in prepping myself for fit, as well as my application.
CS degrees don't have much maths other than first year calculus, linear algebra, and a stats course here and there, I was wondering if the pre-program courses offered by places like UCB and UW Seattle are worthwhile - they are not cheap nor do they guarantee my entree into their programs even if I ace them...
I am based in Toronto, but I fear both the UofT MMF/MFE and the Waterloo MQT may be out of reach due to my academic history. I am very capable of doing well academically, but I was going through much personal hardship during my undergrad. Which programs would I have a shot at? I've considered the CQF, but it seems the program is more of a supplement for existing industry professionals. I am also open to relocating.
Guidance and advice would be greatly appreciated, there's much I've left out and the above may seem a bit incoherent due to my lack of sleep, apologies in advance
I was at one pt contemplating between this and data science but was swayed due to having less overlap with what I currently know (I've worked with developing big data solutions in the past)
I've had a successful albeit unstimulating career in IT for the past 5 years, working for reputable companies with varying roles in software development, solutions architecture, and tech pre-sales/consulting. I would like to redirect myself into a quant developer role via a MS in quantitative/computational finance (I still enjoy being a programmer).
I have a BSc in CS with weak GPA (C), MSc in CS with decent GPA (A-) - got into my MSc program by leveraging strong academic and work referrals.
Since I'm pretty late to the game with respect to application deadlines, I was wondering how I should proceed in prepping myself for fit, as well as my application.
CS degrees don't have much maths other than first year calculus, linear algebra, and a stats course here and there, I was wondering if the pre-program courses offered by places like UCB and UW Seattle are worthwhile - they are not cheap nor do they guarantee my entree into their programs even if I ace them...
I am based in Toronto, but I fear both the UofT MMF/MFE and the Waterloo MQT may be out of reach due to my academic history. I am very capable of doing well academically, but I was going through much personal hardship during my undergrad. Which programs would I have a shot at? I've considered the CQF, but it seems the program is more of a supplement for existing industry professionals. I am also open to relocating.
Guidance and advice would be greatly appreciated, there's much I've left out and the above may seem a bit incoherent due to my lack of sleep, apologies in advance
I was at one pt contemplating between this and data science but was swayed due to having less overlap with what I currently know (I've worked with developing big data solutions in the past)
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