helpmegetphd

For Northwestern and Rice specifically, what do you guys think about submitting my GRE score of 164/164? Should I submit or not since it is optional?

I took the GRE since I posted this and got a 164 for verbal and quantitative. There were also apparently some math classes I didn't include like differential equations and discrete math, but I didn't think those were super relevant. I definitely shot a little too high before with the schools. What about UC Irvine and Northwestern, for example? Would those be attainable?

Thanks for the reply @bayessays. I meant around 165 for the GRE quant section, but again, just a guess. I don't think biostatistics is really what I am looking for, but I do see your point about the slim pickings of math courses. I would say I am interested in statistical learning/computational statistics/machine learning kind of things. I guess I never really considered how applying to a PhD program would work with classes currently in progress. Should I just wait till the Fall 2022 cycle when I will have grades for real analysis and math stats?

Hey, I've been browsing this forum trying to get an idea of where I stand. Eventually I realized I should just post my own thread. Thanks in advance for any help. Undergraduate Institution: large state flagship ranked around 150 Major: Finance, Math Minor: CS, History GPA: 4.0 Type of Student: Domestic White Male Graduate Institution: Same university (dual degree program) Masters in Applied Statistics GPA: 4.0 GRE Score: No GRE score yet - based on how I did on the GMAT, I expect to score mid 650 range for the Quantitative section Relevant Classes: Cal II (A+), Honors Cal III (A+), Intro Linear Algebra (A-), Regression Analysis (Grad - A), Multivariate Analysis (Grad - A), Economic Forecasting and Analysis (Grad - P because of pandemic) All of CS Minor were A's Relevant Classes Still to take this year: Real Analysis, Math Stats sequence, various applied statistics electives Research Experience: No formal math/statistics research - I have large personal projects related to modelling sports games to bet on for profit - tons of python code for scraping, analyzing, modelling data as well as optimizing certain functions (which I am very proud of) - In the last 10 months, I would say I spent probably 200+ hours on these projects Currently serving as a research assistant for some history professors writing a book already purchased by a large publishing company - I have done some basic statistical analysis for them with contingency tables, logistic regression, time series analysis Work Experience: I served as a TA for the introductory undergraduate statistics course at the university for one semester Letters: I have taken many history classes with this one professor who I am also acting as a research assistant for, as mentioned above, so I will get one from this person. Planning on getting statistics professors who have taught me and like me to write the other two - they aren't big names or anything, but they should write good letters Statistics PHD programs I am thinking about: Washington, Columbia, Michigan, NCSU, UCLA I just recently started checking into programs that would fit my interests. I haven't really done an exhaustive search of programs yet - I wanted to get feedback on where I stand first. Some questions for you all: 1) Do I have a chance with programs as good as Washington or Columbia? 2) Are there any schools that have more of an applied focus that I should be looking at? 3) Should I take the Math GRE? I think I could study enough to get a decent score if it is worth the effort Thanks for any help in advance!