Hi, I am currently a rising sophomore in CS with my sites on working in quantitative finance. I intend to get an MS in CS and possibly further (PhD and/or MFE). My undergrad degree program has an option for a mathematics track, which would consist of 4 additional math courses instead of Computer Science courses.
If my interests like primarily in HFT and algorithmic trading, would I be better suited for quantitative finance if I took the mathematics track (allowing me to take undergrad PDEs, real and complex analysis, abstract algebra) or 4 additional CS classes (networks, data mining, simulations, machine learning) I could probably squeeze in 1 class from the other category for both routes.
*For my BS I will already be taking calc1-3, diffeq, linear algebra, probability, numerical analysis, and stochastic processes.
Which is more valuable for a CS major during undergrad: PDEs and analysis, or a deeper skill set in computer science.
If my interests like primarily in HFT and algorithmic trading, would I be better suited for quantitative finance if I took the mathematics track (allowing me to take undergrad PDEs, real and complex analysis, abstract algebra) or 4 additional CS classes (networks, data mining, simulations, machine learning) I could probably squeeze in 1 class from the other category for both routes.
*For my BS I will already be taking calc1-3, diffeq, linear algebra, probability, numerical analysis, and stochastic processes.
Which is more valuable for a CS major during undergrad: PDEs and analysis, or a deeper skill set in computer science.
