lilpothos

Hi everyone, I am hoping to apply for Biostat PhD programs for fall 2022 and was hoping for some recommendations on classes to take. It's pretty early, but since I have to start planning out my courses in the upcoming weeks, I was hoping for some advice. I finished a stats major (3.85 gpa) at a top 20 uni and have taken the following courses (mixture of applied math and stats): Applied Math Methods 1 (equivalent of calc3) (B+), Applied Math Methods 2 (laundry list of topics that includes some differential equations) (A), Linear Algebra (A), Probability (A), Mathematical Statistics (master's level) (A), Stat Methods & Data Analysis (A-), Logistic regression (A), Spatial Statistics (master's level)(A), Data Mining (A), Neural Networks (A), Text Mining (A). I have research experience from a quantitative psychology lab as well as from an REU, have presented at JMM, and have one conference paper. Although I have a lot of stats background, I am hoping to beef up my application by taking some math classes in the upcoming semesters. For summer 2021 I can take an intro to mathematical thinking/proofs class and number theory. In the fall 2021 intro to analysis 1 and modern algebra 1, and then in the spring 2022 I can take intro to analysis 2. I am thinking that I will definitely take the intro proofs --> analysis 1 --> analysis 2 sequence, but am wondering if anyone has thoughts on whether or not modern algebra or number theory would actually be beneficial or if it isn't worth the trouble. Note: I already did undergrad and am working a job doing data analysis for a healthcare provider while taking classes part time so that limits the amount of classes I can take at once. As a side question, will it be an issue that I will still be finishing up analysis 1 when applications are submitted or is that relatively common? Thanks and would be grateful for any responses and insights.

Hey everyone! I've just graduated with my bachelor's and am taking a gap year to work as a data scientist while applying for 2021. I've mainly been looking at Statistics programs but several Biostat programs have also had interesting research so I'm open to options in both. I'd love to hear what you guys think and what I should realistically expect from the process, as well as anything I could leverage or work on in the next few months to strengthen my application! Thanks! Undergrad Institution: Top 20 (US) University Major: Statistics GPA: 3.85 Type of student: Domestic male (URM) GRE (I haven't taken it yet, but based on recent practice exams) Q: 167+ V: 160+ W: 4.5 Relevant courses: Math: Methods in Applied Mathematics I,II (B+, A), Linear Algebra (A), Probability (A), Math Reasoning (A), Financial Mathematics (A-) ** I am also planning on taking Real Analysis I online in the fall, and Real Analysis II (and possibly Abstract Algebra) in the spring. Stats: Statistical Methods (A-), Statistical Computing (A), Mathematical Statistics (A), Spatio-Temporal Statistics (A), Data Mining (A), Applied Logistic Regression (A) Misc: Text Mining (A), Scientific Computing (A), Neural Networks (A) Research: 2 years in quantitative psychology lab and an REU Other: I wrote a senior thesis on robust experimental design, have presented a talk and poster at JMM, and am co-authoring a conference paper for the fall Programs Considering: I think I would prefer programs on the west coast, but I am open to all suggestions. If it's a fit, then it's a fit.