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Hi.

I'm an undergraduate, and I'm registering for courses for the upcoming fall semester. I'd like to attend a (highly-ranked) graduate program to work in quantitative finance. Which of the following classes is best for me? These are the ones I've been considering:

1. Graduate-level measure theory class
2. Graduate-level mathematical statistics class
3. Graduate-level PDEs class
4. Graduate-level convex optimization class
5. Graduate-level linear programming class

I'll also be taking a grad level probability theory class. I'll have already taken a grad stochastic processes class.

Also, I'm a math+cs double major.

Any advice is appreciated.

EDIT: I thought it should be noted that the convex optimization class is in the electrical engineering department. The linear programming class is offered by the business department. The PDEs, mathematical statistics and measure theory courses are in the math department.