Hi everybody,
I'm in desperate need of help deciding which grad programs to apply to. I'm interested in computational statistics and machine learning.
Undergrad Institution: State flagship in the south, sub-50 US News ranking in stats. Our stats program is very small. I know one woman from here who got her phd at Ohio State. Our math dept. has sent some students to pretty good schools in the past few years though.
GPA: 4.00
GRE: 168 V / 166 Q / 3.5 W
Major: Math
Minors: Computer Science, Statistics
Type of Student: Female, Domestic, White
Relevant Courses: I've taken Real Analysis 1&2, Linear Alg, Numerical Methods, a ton of cs courses, Machine Learning, Operations Research, Probability, 3-4 or so applied stats grad classes like Applied Regression, Design of Experiments. Next semester I'm planning on taking Stochastic Processes, Statistical Inference, and Applied Multivariate Analysis. I also have a W in a pure Linear algebra class.
Programming Experience: C++, Python, Java, PHP, SQL, SAS, R, familiar with working in Linux environment
Research: None
Teaching Experience: I've worked as math study group instructor for three years
Work Experience: This past summer I was an intern at a small company. I did mostly web programming.
Letters: I'm not expecting amazing letters. I think I'll have two average ones and one pretty good one.
I originally intended to only apply to MS programs, to give me a better shot of getting into a PhD program. However, I talked to some professors who told me to just apply to Phd programs, but I definitely can't afford to not have anything lined up for next fall. I would be eternally grateful to anyone that could take a look at my chances and maybe even recommend some programs for me
Some schools I'm looking at: SDSU, UC-Riverside, UT-Austin, UC-Irvine, University of Connecticut, University of Illinois-Chicago
I have residency in Ohio, so I'll probably apply to the masters program at OSU and some other Ohio schools
Thank you so much!