I just recently decided that I'd like to pursue a PhD degree, which means I did not do any research previously. I am currently in a MS program and doing research now. I will graduate at Dec 2022 but plan to have a gap year to do research.
Undergraduate institue: UC with math rank ~20. Major math applied
GPA: 3.81 overall, 3.95 for math
Graduate institue: Top Private but well-known for cash-cow masters lol. Major: Operations Research. Taking PhD courses and doing research now. Hope that this will help! PS: This private school should be the only one that differentiate PhD courses and masters courses lol.
GRE General: V162(90%) Q170(96%) AW 4.0 (54% I think)
GRE Sub Math: Did not take, I do not think this will help a lot, but just assume I got a good score like 95% or 90%?
Field of Interest: Probability and Stochastic Process, Machine Learning, Mathematical Finance (though this is actually an application of stochastic process and ML)
Should I apply to math PhD focus on Probability or Stats PhD? I am actually not that interested in general statistics (something like estmations, inference, and hypothsis test...) Indeed Stochastic process is my primary interest, and I am interested even more in analysis rather than statstics. However I am not confident to be Pure Math PhD and will consider some applications such as math finance.
Math or Statistics? Should I continue to take PhD courses (will this be helpful? PhD courses definitely take a lot of time and I am not confident to get A. For non-PhD level courses, it is much easier and I will get A with little efforts.) What kind of schools shold I target at? I was considering CMU mathematical science, not sure the selectivity, but this contains probability and mathematical finance research and it is probability easier to do research on Machine Learning there?
Forum for the GRE subject test in mathematics.
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