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bebop65

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  1. Hi all, I'm a senior undergrad in the US graduating in the spring. I'm applying to PhD programs in statistics for fall 2020. I posted my profile recently and got great feedback, and I was wondering about a few more things: 1. I changed the list of schools I'm applying to, do they seem reasonable? I wanted to apply to more reach schools to give myself a better chance of getting into one, while also applying to enough lower ranked schools to not feel worried about getting into zero schools. 2. If I'm okay with doing a master's instead of a phd(in preparation for a phd), in general will it hurt me to apply for the phd programs? I.e. are there schools where you would get rejected outright(not even offered a master's) if you applied for the phd program but where you be accepted had you only applied for the master's? Undergrad Institution: Large public university ranked top 20 in math by US news Major(s): Applied Mathematics GPA: 3.89 GRE General Test: Q: 166 (89%) V: 165 (96%) W: 4.0 (57%) Math Subject Test: (probably won't take) Programs Applying: Statistics PhD/M.S Research Experience: Did a project related to Dynamical Systems with an applied math professor, and this summer have been doing a project with a statistics professor that I'll continue into the fall semester. Letters of Recommendation: Two from the professors I did projects with. The applied math professor will probably write an at least ok letter and I think the stats prof will be able to write a strong one. I'm going to ask a physics prof I took quantum mechanics with for the last letter because I did very well and I thought he liked me. Grades: Mathematics: Calc III(took in hs and it stayed on my transcript :///) (B), Linear Algebra and Differential Equations(honors and proof based) (A), Multi-Variable Calculus(honors and proof based) (A), "Applied Mathematical Analysis" which was a mixture of harder calc III and some complex analysis(honors) (A), Intro. to PDEs (B), Analysis I, II (A, A), Intro. to Measure Theory and Integration (A-), Intro. to Probability Theory(proof based) (B), Modern Algebra I, II (A, A), Numerical Linear Algebra (B+), Intro. to Mathematical Optimization (A), Intro. to Combinatorics (A) Computer Science: Intro. to programming (A), Data structures (A) Physics: 3 intro classes (A,A,A) a lab course (A), quantum mechanics (A), thermodynamics (A), classical mechanics (A), electrodynamics (A) Additional courses I will have taken before applying: Numerical Analysis, Stochastic Processes Schools I'm thinking about applying to:(For statistics phd unless otherwise indicated) "Safety"(not really of course): Iowa State, Madison, Illinois UC, Purdue, John Hopkins(applied math/statistics) Reach: Chicago, Columbia, U Washington, CMU, U Penn Any suggestions/feedback would be great! Thanks
  2. Hi all, I'm a senior undergrad in the US graduating in the spring. I'm applying to PhD programs in statistics/biostatistics for fall 2020. I'm wondering about several things: 1. Are programs in biostats vs statistics significantly different? I think I'm interested in a more theoretical/mathematical training so if biostatistics programs put a lot less emphasis on that then I'm not sure I'd want to attend those programs. 2. Are the schools I'm applying for reasonable? Suggestions on where else to apply would also be great. 3. Will not taking the math GRE subject test significantly weaken my application to higher ranked schools? I'm not sure if putting in the time to prepare and take it is worth it; I was planning on taking a practice test and seeing how that goes. 4. Should I retake the general GRE? I think I could get at least a 4.5 writing score and a higher quantitative score with not that much more preparation. Undergrad Institution: Large public university ranked 15-20 in math by US news Major(s): Applied Mathematics GPA: 3.89 GRE General Test: Q: 166 (89%) V: 165 (96%) W: 4.0 (57%) Math Subject Test: (not sure if I will take) Programs Applying: Biostatistics or Statistics PhD Research Experience: Did a project related to Dynamical Systems with an applied math professor, and this summer have been doing a project with a statistics professor that I'll continue into the fall semester. Letters of Recommendation: Two from the professors I did projects with. The applied math professor will probably write an at least ok letter and the statistics prof I think will be able to write a strong one. I'm going to ask a physics prof I took quantum mechanics with for the last letter because I did very well and I thought he liked me. In general I didn't form that close of relationships with my professors so I'm sort of worried about this last letter but I have several professors I took classes with as backups. Grades: Mathematics: Calc III: B Linear Algebra and Differential Equations(proof based): A Multi-Variable Calculus(proof based): A "Applied Mathematical Analysis" which was a mixture of harder calc III and some complex analysis: A Intro. to PDEs: B Analysis I, II: A, A Intro. to Measure Theory and Integration: A- Intro. to Probability Theory(proof based): B Modern Algebra I, II: A, A Numerical Linear Algebra: B+ Intro. to Mathematical Optimization: A Computer Science: Intro. to programming: A Data structures: A Intro. to Combinatorics: A Physics: I took 3 intro classes, a lab course, quantum mechanics, thermodynamics, classical mechanics and electrodynamics and got all As. Initially I thought I wanted to do a physics PhD which is why I took so many physics courses and not so many statistics courses. Additional courses I will have taken before applying: Numerical Analysis Stochastic Processes Schools I'm thinking about applying to(and US news ranking): John Hopkins biostats 3 University of Chicago stats 6 University of Michigan Ann Arbor 12 Duke stats 12 Columbia stats 16 University of Wisconsin Madison stats 16 Iowa State University stats 20 Minnesota twin cities stats 24 Ohio State University 37 University of Illinois Urbana-Champaign stats 37 Any suggestions/feedback would be great! Thanks
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