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Hi, a quick update: I just received my GRE general score and got 165(Q), 162(V), 5.0(AW). Would this score (particularly the 165Q) keep my application competitive for the top Biostats (i.e., Harvard, JHU, UWashington) and Stats (i.e., Columbia, Berkeley) programs I mentioned? Or should I retake to try and up the quant score? Thank you! Also to make clear, I’m not as worried about the non-quant scores, but I was definitely hoping for a bit higher result on the quant section...

Thank you so much! In your opinion, would it be necessary or advantageous to take the math gre subject test for these programs? Also, are there other math courses beyond real analysis that I should take before applying?

Hello! I'm starting to look at Stat/Biostat PhD programs and hoping for advice as to what schools I should apply and what I can do to enhance my application over the next two semesters in undergrad. Undergrad Institution: Low Ivy League Major: (B.S.) Biometry & Statistics Minors: Mathematics, Data Science GPA: 4.05/4.30 (approx. 3.92/4.00) but this is a bit inflated with research grades Type of Student: Male Domestic GRE General Test: n/a - taking soonGRE Subject Test in Mathematics: n/a (and not sure if should take) Programs Applying: Statistics/Biostatistics PhD Research Experience: - Paper in the works in ML/bio-informatics area - Paper in the works in signal processing area - Hopefully starting some theoretical statistics research soon in preparation for undergrad thesis Awards/Honors/Recognitions: - University's presidential research scholar program - On pace for magna or summa cum laude (hopefully) Pertinent Activities/Jobs: - A couple of data science projects - TA-ing bio course for 2 semesters and data science for 1 semester - One summer of data analytics/consulting experience Letters of Recommendation: I'm expecting two strong letters from professors with whom I am doing research, and one more tbd Coding Skills: R, Python, Java Relevant Courses + Grades: (Only Taken Undergraduate Classes) Mathematics - Calc II (A-), Multivariable calculus (A-), Linear Algebra (A+), Intro to Real Analysis (taking next semester), Applicable Algebra (taking next semester) Statistics - Methods I (A-), Methods II (A-), Probability (A+), Theoretical Statistics (A+), Linear Models (A+), Statistical Design (A+), Data Mining and ML (A) Other Relevant Courses: Data Science (A+), Intro Computer Science (B+), Data Structures (A), Networks (A) Biology- AP credit and one elective course Additional comments/concerns: 1. I think my biggest weakness is my math background. I am trying to enhance it next semester with an intro analysis and applied algebra course, but I'm not sure if I can take more math courses before applications are due... Any thoughts? 2. I am really open to either Stats or Biostats programs (my application is probably more competitive for the biostats due to my previous point). Some currently on my mind are: Biostats: Columbia (top choice), Duke, Harvard, UWashington, UNC, JHU Stats: Cornell, Columbia (top choice), UChicago, Yale, Berkeley, Northwestern I'd really appreciate any feedback on my schools (if there are others I should be looking at please let me know!) and any advice you may have on how to improve my application (courses, research, necessity of math gre, etc.) since I still have some time left. Thanks so much for your help!