- Joined
- 11/11/20
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Hi all, I have been accepted into both the above programs, UCLA MFE, and NYU MSMF, and I would like to get the opinion of the QuantNet Community. I aspire to work in quant research, trading, or structuring after I complete the post-grad. I would very much appreciate it if you could spare a moment and let me know your thoughts.
Now, I have also shared my research, ideas, and perceptions about these programs. Please feel free to correct me, or add your ideas.
Background
NYU MSMF
Pros:
UCLA MFE
Pros:
Now, I have also shared my research, ideas, and perceptions about these programs. Please feel free to correct me, or add your ideas.
Background
- B.Tech. in Computer Science from a Tier-1 Indian College
- Experience: 4 years at a BB as a quantitative engineer.
- Skills: Programming, Algorithms, CFA-L1, etc.
NYU MSMF
Pros:
- Great program reputation of NYU Courant
- More rigorous curriculum
- Location
- Smaller class size
- I have heard good things about their career services.
- Employment Stats after graduation seem a bit low(even though after 3-month stats are fine)
- I am concerned as great as the program's theoretical foundations are, whether there is enough practical exposure.
UCLA MFE
Pros:
- Associated with the Business School, I believe this provides a certain generality in work opportunities.
- Coursework with applied projects and workshops is more practice-oriented.
- I felt the curriculum is slightly rudimentary, but broader in scope. I list this as a con because I feel that easier courses can be completed on online platforms. And I am, to an extent, certain about the type of work I want to do after graduation, so the broader coursework is not as advantageous to me.
- Location. Even tho there are a ton of opportunities out West, I feel proximity to NY is still advantageous. Is this as big a factor in the post-COVID, better remote and long-distance functioning world? I do not know.