- Joined
- 2/8/24
- Messages
- 4
- Points
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I have recently graduated from a Mathematics degree and I have landed a graduate job in a quantitative risk role at a Big 4 firm. In the next few years I plan to potentially do a masters at a top UK university in order to break into more of a quant research role in London. I am wondering what kind of masters would suit my goals the best (in an ideal world I get in, understandably no easy feat). I will list my pros/cons of each option, looking for other peoples opinions:
MSc in Applied maths at Cambridge/Oxford
Pros:
- Mathematically intense.
- Cheaper than MFE.
- More general in case I want to pivot to tech/data science.
Cons:
- Career service help not as good for directly entering quant.
- Difficult to balance study/applying for jobs.
- Further to get to London.
MFE at Imperial/Oxford/UCL
Pros:
- Directly learning concepts in quantitative finance.
- Good career services/ industry connections.
- Close to London.
Cons:
- Expensive
- Less rigorous mathematically.
MSc in Applied maths at Cambridge/Oxford
Pros:
- Mathematically intense.
- Cheaper than MFE.
- More general in case I want to pivot to tech/data science.
Cons:
- Career service help not as good for directly entering quant.
- Difficult to balance study/applying for jobs.
- Further to get to London.
MFE at Imperial/Oxford/UCL
Pros:
- Directly learning concepts in quantitative finance.
- Good career services/ industry connections.
- Close to London.
Cons:
- Expensive
- Less rigorous mathematically.
