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I am currently pursuing a quant program.I have an option to select electives and I can take one of the following paths:1. Data mining course followed by Machine learning which will give me strong computational statistics foundation.2. Advanced PDE course followed by a non linear PDE analysis thus taking a mathematical route.Although I know where my interests lie, I would like to know which of these two are more relevant in the quant industry currently.More specifically, what kind of job roles look for each of the above set of options.Thank you.
I am currently pursuing a quant program.
I have an option to select electives and I can take one of the following paths:
1. Data mining course followed by Machine learning which will give me strong computational statistics foundation.
2. Advanced PDE course followed by a non linear PDE analysis thus taking a mathematical route.
Although I know where my interests lie, I would like to know which of these two are more relevant in the quant industry currently.
More specifically, what kind of job roles look for each of the above set of options.
Thank you.
