trynagetby

Thanks for the feedback and the recommendation to take the MGRE. I have all this free time so might as well! What score do you think I should aim for to make it worth it?

Hi all I posted last year about my confusion of where to apply and everyones feed back was super useful! I'll be applying this year and would really appreciate if people could give feedback on the list of school's I've come up with. Undergraduate Institution: Columbia University Major: Mathematics-Statistics GPA: 3.90 Type of Student: Domestic Asian Male Relevant Classes: Statistics Courses: Statistical Inference (A) , Bayesian Statistics (A), Statistical Machine Learning (A-), Stochastic Processes (A), Probability Theory (A), Linear Regression (A+) Math Courses: Algebra I (B+), Fourier Analysis (B), Calc III-IV (A), Linear Algebra (A), Optimization (A), Analysis I-II (A), Probability Theory (measure theoretic) (A-),Numerical Methods/Analysis (A+), ODE (A) MISC: Data Structure and Algorithms (A), Analysis of Algorithms (A-), Artificial Intelligence (A), Databases (A) Mandatory Pass Fail: Casual Inference, Advanced Linear Algebra GRE: Q: 168 V: 160 W:4 Research Experience: Got accepted to a biocomputing conference as first author and gave an oral presentation (Bayesian classification). Been Working with a pretty well known statistical neuroscience professor. Should have an e-life paper and maybe a NeurIps pub but as like 5th author. Recs: One from the professor I published the Biocomputing conference paper with (first author), Second is the statistical neuroscience prof I'm working with. Both should be decently strong. Last is the Advanced Linear Algebra professor where I was likely the top performer (also should show that I did well in the class despite the P) My school list looks something like this: Reach: CMU, University of Michigan, University of Washington, Cornell, Duke Target: UNC, University of Wisconsin Madison, NCSU Safer Target: UCLA, UIUC Are any reaches too much of a moonshot and my target schools actually reaches? Thank you all so much for your help!

Thanks, that thread seems to be more focused on admitted graduate students rather than people not yet accepted by a program. If we can wait (e.g have a "stable" job) , do you think its still worth it to apply this application season given that departments might not be accepting students? Or is pretty much everything in the air?

Hi all, I know its a bit selfish to be thinking about gradschool admissions in this time, but I (and am sure plenty of other people) am wondering about how the pandemic and likely recessions/depression will affect grad school admissions. Does anyone have inside information on how departments and admission committees will handle this? Will we be tanked? Thanks!

Hi all, I was thinking about graduate school, but I'm not sure where I could get in given my grades. I would like to apply to Statistics PhD programs. I'm planning to just take the standard GRE. Undergraduate Institution: Columbia University Major: Mathematics-Statistics GPA: 3.88 Type of Student: Domestic Asian Male Relevant Classes: Statistics Courses: Statistical Inference (Casella and Berger) (A) , Bayesian Statistics (A), Statistical Machine Learning (A-), Stochastic Processes (A), Probability Theory (A), Math Courses: Calc III-IV (A), Linear Algebra (A), Optimization (A), Algebra I (B+), Analysis I-II (A), Probability Theory (measure theoretic) (A-), Fourier Analysis (B), Numerical Methods/Analysis (A+), ODE (A) MISC: Data Structure and Algorithms (A) GRE: Haven't taken Research Experience: Got accepted to a biocomputing conference and gave an oral presentation (Bayesian classification). Currently working with a professor on machine learning projects applied to neuroscience. Recs: They should be standard. I'm mainly worried about my B+, and B in Algebra and Fourier Analysis, (and a little about my A- in Probability Theory). I feel like my math background is still rather light and those grades look rather bad. I'd really appreciate comments.