Hi everyone,
I'm a college graduate planning on applying to statistics PhD programs next winter. I'm interested in mathematical statistics or probability. Basically, I want to do something as close as possible to math, without having to apply to a math PhD program because I know I probably wouldn't get in.
Undergrad institution: Think Harvard/Princeton/Stanford/MIT
Major: Physics
GPA: 3.6/4.0
Relevant courses:
Math:
Real Analysis (Rudin): A-
Linear Algebra: B
Complex analysis: B+
Functional/complex analysis (it was a weird course lol) : A
Abstract Algebra (mostly group theory): A
Probability: B+
Physics:
Advanced classical mechanics: A
Quantum mechanics 1 and 2: A, A
Advanced electrodynamics: A+
Statistical mechanics: A
Experimental physics: A
Computer science / electrical engineering:
Algorithms and data structures: A
Signals and systems: A-
GRE general: 170, 170, 5.
GRE math: yet to take
Research experience:
Theoretical physics, 1 first-author publication.
LOR:
Could prob get a decent one from the professor i worked with for my publication.
No idea what I'll do for the other two.
As you can see, I didn't take many math classes, nor did I do well in them for the most part. Do I have any chance of getting into a stats PhD program? If so, what schools should I aim for? Thank you!