coffee_7

Thanks!! Honestly, I probably could try to take real analysis over the summer, but it would be kind of a squeeze with the REU and GRE studying. I think I would benefit much more from a full semester, not-double-paced experience for such an important class. I recognize that this lowers my admissions chances, but I'd rather learn the material really well. I'll consider it, though, so thanks for the suggestion. UNC and Michigan look interesting, but I'm a little concerned about the size of their programs. My #1 priority in grad schools is finding a solid program with great people, and I'd prefer a smaller department/smaller classes. I think I have the aptitude to get through, but I have a lot of anxiety and have really enjoyed the environment at being at a small liberal arts college with close professor-student relationships. Do you have any suggestions for places that might fit? So far, I've gotten good vibes from Rochester, Brown, Vanderbilt, and Minnesota.

Thanks! I guess I'm just concerned seeing people with much better math backgrounds getting rejected from PhD programs in this tier. Would my other research experience make up for this? I am not worried about getting into a top top program, but I would like to have as many options as I can come next April

Hi all! A few things have changed about my profile, and I'm interested in any more opinions about whether I am in over my head here. Thanks! Undergrad Institution: top 20 liberal arts school Major(s): Statistics/Data Science GPA: 4.0 Type of Student: domestic white female Haven't taken the GRE but on the official PowerPrep: Q: 167 V: 168 Coursework (completed) Linear algebra (A), calc II (A), research design (a stats course, A), multiple regression (A), intro data science (A), intro computer science (A), intro statistics in psychology (A), Spring 2021: Calc III (likely A, maybe A-), discrete math (likely A), data vis and programming course in R (unsure) Future coursework Fall 2021: real analysis, probability, data science course Spring 2022: mathematical statistics, advanced calculus Research experience Will have had 2.5 years of research experience with public health group doing quantitative research; I have one first-author publication in a non-undergraduate journal (maybe will have a second non-first author pub, but it would be in qualitative work, and it's still in writing), two first author conference poster/presentations; one REU doing qualitative research sponsored by NIH-affiliated entity; this summer, I'm doing what I think is a very prestigious REU at a top US cancer hospital in their epidemiology and biostatistics department, working with an epidemiologist doing Mendelian randomization Skills Pretty solid in R, some Python Awards/Honors/Recognitions Dean's list (all semesters), award for high first year GPA, merit scholarship with research included at school Work experience Data science job in this spring collaborating with a local public health organization, TA-ed intro statistics in psychology for a year, might TA intro biology in the fall Letters of recommendation Still TBD, but probably would have two really excellent ones from research advisors and one solid LOR from a stats professor Schools Biostatistics PhD: Harvard (I know), Hopkins (I know), Minnesota, Columbia, Penn, Duke, Vanderbilt, BU, Pitt, Florida, Rochester, Colorado, and UMass Thank you!!

This is super helpful! I would love to hear others' opinions on these schools and the next tier(s) down for biostat (specifically looking at Minnesota, Columbia, Penn, Yale, Emory, Brown, Duke, Vanderbilt, BU, Pittsburg).

Hi all! I am interested in biostatistics but know very few people who can give me an honest assessment of whether I have a shot. I would sincerely appreciate if any of you could please offer your two cents -- is it even worth applying to PhD programs, or if I should just stick with master's? Undergrad Institution: top 20 liberal arts school Major(s): Statistics Minor(s): Psychology GPA: 4.0 Type of Student: domestic white female Haven't taken the GRE but on the official PowerPrep: Q: 167 V: 168 Coursework (completed) Linear algebra, calc II, research design (a stats course), research methods (in psychology dept), intro data science, intro computer science, intro statistics in psychology Future coursework Spring 2021: Calc III, intro proofs course, data vis course on Tableu Fall 2021: real analysis, probability, data structures Spring 2022: mathematical statistics, advanced calculus, advanced statistics course Research experience Will have had 3 years of research experience with public health group doing quantitative research; I have one first-author publication in a non-undergraduate journal (maybe will have a second non-first author pub, but it would be in qualitative work, and it's still in writing), two first author conference poster/presentations; one REU doing qualitative research sponsored by NIH-affiliated entity; unsure about this summer Skills R, Python; will be working with MATLAB this semester Awards/Honors/Recognitions Dean's list (all semesters), award for high first year GPA, merit scholarship with research included at school Work experience Data science job in this spring collaborating with a local public health organization, TA-ed intro statistics in psychology for a year Letters of recommendation Still TBD, but probably would have two really excellent ones from research advisors and one solid LOR from a stats professor Schools Masters: Harvard, UNC, Penn, Yale (maybe more from list below); also considering Columbia, Michigan PhD: Hopkins (I know), Minnesota, Emory, Brown, BU, Pitt, University of Colorado, UMass, Rutgers; also considering Duke, Vanderbilt Thank you!!