cateintheriver

Thank you so much for your suggestions! I haven't look into Oregon State and Georgia before and I'll definitely check them out. You are definitely correct that I should remove some of the higher ranking schools from my list. I never actually think I would have a chance to get in Brown (or Columbia), but my professor has strongly recommended both so I have put them on the list. He also suggested me to try to apply to programs with relatively large cohort/number of faculties since usually there will only be one or two professors who work in ecological statistics in a department (if any), and said professor may not eventually become my advisor.

Hi guys, I am a rising senior and will be applying for PhD programs in statistics this fall, but I am still unsure about the range of programs I should apply to. I have talked with one of my letter writers (statistics professor), he is fairly confident that I could get in schools like Ohio State and Florida, but I am afraid that he is too optimistic since I have a couple of bad grades from undergraduate math and statistics classes (B+ in both Calculus III and undergraduate probability), I would love to hear about your opinion on my current school choices. I am also interested in applying statistical methods on ecological problems, so if you know any school that is particularly strong in this area, I would also love to learn about it. Thank you so much for your help! Undergraduate Institution: Top 80 state school, strong in pure math but meh in stats Majors: Pure Math (honors program) + Applied Math & Stats Minor: Biology (ecology & evolution concentration) GPA: 3.90/4.00 Type of Student: International female Courses taken: Pure Math/Applied Math (undergrad level): Calculus II & III (A, B+), Differential Equations (A), Group Theory (A), Complex Analysis (A), Topology (A), Real Analysis I (A-), Advanced Linear Algebra (A-), Applied Algebra (A), Numerical Methods (A-) Stats (undergrad level): Data Analysis (A), Probability Theory (B+), Mathematical Statistics (A), Applied Data Mining (A) Stats (grad level): Linear Regression Model (A), Bayesian Statistics (A), Stochastic Process (B+), Mathematical Statistics I (A-) CS (undergrad level): Introductory Programming (A) Courses taking this fall: Pure Math/Applied Math (undergrad level): Real Analysis II, Senior Thesis (2-semester sequence) Pure Math/Applied Math (grad level): Topology Stats (undergrad level): Independent Study supervised by grad-level Mathematical Statistics I professor Stats (grad level): Introductory Probability Theory (will take measure theoretic grad level probability theory next spring) GRE General Test: 159V/170Q/4.5W GRE Subject Math: Will take in September (and maybe October too) Research Experience: 1 research project in statistical ecology in national academy of sciences of home country resulted in 1 published paper (3rd author, mainly responsible for designing the algorithm, writing R codes and running the codes to test hypothesis proposed by the PI);1 summer REU at an ivy school in topology with no major results, gave one talk to the department at the end; doing data analysis for an ecology lab at my home institution since this spring; also doing research in topology at my home institution this summer (topic is related to senior thesis). Working Experience: 1 year TA for introductory biology, will be TA for calculus sequence starting this fall, high school math tutor during sophomore year Letters of Recommendation: 1 from senior thesis advisor (math professor who is also supervising my summer research now), 1 from grad level mathematical statistics I professor (who I will also take grad level introductory probability with and supervise my independent study in statistics in the fall), 1 from either the PI from the published paper or the PI of the ecology lab that I've been working in since this spring Currently considering schools: Brown (under applied math department), Duke, Columbia, NC State, Penn State, Minnesota, John Hopkins, Ohio State, Florida, Colorado State Boulder (under applied math department), Pittsburgh, UCSB.

Hi, I’m currently a rising senior trying to decide between two classes next semester since unfortunately both classes run at the same time: One is the second class in the undergraduate analysis sequence that covers measure theory, the other is the second class in the graduate mathematical statistics sequence. I’m planning to apply for a PhD in statistics next semester and am unsure which one would offer more preparation for the PhD. Neither analysis nor statistics is a particular strong area in my university, though from the first classes in both sequence, the measure theory one should be the more difficult/time-consuming one. Any advice would be much appreciated. Thank you so much!