Which of these courses should I take? (Undergrad, T10 Public)

[quantdavis]

I am a freshman (double majoring in math and CS), and need help on choosing courses that would be most useful for MFE. I can also take 2-3 graduate courses. Thank you.

 

[Richardrs]

Math - Stochastic Processes. Applied Linear Algebra. PDE's and ODE's. Although you can't go wrong with a bunch of those choices
CS - Algorithms, data structures, not sure about the others.

Take a look at the required courses at MFE websites and try to match courses based on that. There's a ton of overlap between those required courses and those screenshots you shared. : )

 

[Fadmad]

ECS 132, 170, 171
MAT 133, 135B

 

[binomial-torrent]

Math - Stochastic Processes. Applied Linear Algebra. PDE's and ODE's. Although you can't go wrong with a bunch of those choices
CS - Algorithms, data structures, not sure about the others.

Take a look at the required courses at MFE websites and try to match courses based on that. There's a ton of overlap between those required courses and those screenshots you shared. : )

those are good for sell-side not so much for buy-side. for buy side:
CS: algorithms, scientific computation, prob and stat modeling for computer science, software engineering, intro to artifical intelligence, machine learning, maybe database systems, computer vision, and scientific visualization
math: real analysis, discrete mathematics, numerical analysis, applied linear algebra, optimization, probability, mathematics for data analytics, maybe fourier analysis and mathematical finance

take those courses, do well and have a high gpa, should not have problem landing a quant role without needing an MFE if you are from a t10 public.

 

[quantdavis]

those are good for sell-side not so much for buy-side. for buy side:
CS: algorithms, scientific computation, prob and stat modeling for computer science, software engineering, intro to artifical intelligence, machine learning, maybe database systems, computer vision, and scientific visualization
math: real analysis, discrete mathematics, numerical analysis, applied linear algebra, optimization, probability, mathematics for data analytics, maybe fourier analysis and mathematical finance

take those courses, do well and have a high gpa, should not have problem landing a quant role without needing an MFE if you are from a t10 public.

Thank you. Any advice on securing a quant role directly after undergrad? I have a 4.0 right now and can definitely graduate with a 3.8+.

 

[binomial-torrent]

prepare well for the interview questions they'll throw at you. coding tests, brainteasers, probability puzzles, etc. this is hard to do without a strong foundation though so just focus on classes for now.