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I'm just a current applicant, but it seems as though you'll be very competitive pretty much everywhere. You have all the relevant classes, high grades, high gre, research experience, etc. Plus you're coming from CMU. If your rec letters are pretty good you should be golden. The only thing that might set you back slightly is being an international student. I'd recommend talking to your professors, since they'll be able to guide you better than posters on this forum.

I don't think a cv for statistics is going to be much different than a cv for any other discipline. I'm applying right now and mine just has: -Education (school information, gpa, relevant activities/clubs) -Awards/Honors (with approximate dates) -Research experience (short descriptions, dates, supervisors, etc.) -Relevant work experience (grading, ta'ing, etc., with dates and short descriptions) -Relevant skills (computer languages and software you know, actual languages you know) If you have publications or presentations also put those.

Just wanted to add that from posts from previous years in this forum it looks like the math gre is more important for internationals than domestic students (as are most parts of the application)

Power Prep I: 163 V/ 169 Q Power Prep II: 163 V/ 169 Q Actual score: 163 V/ 167 Q

@MSc_in_SMC Awesome, thanks for the info!

Hey everyone, I'm applying to statistics/biostatistics PhD programs this fall. I posted one of these last year at the end of my sophomore year, but as the application season is coming up and my profile has changed a bit in the last year, I wanted to get a better feel for where I stand, given all of the information here is what's going to be on my application! I'm interested in machine learning and related areas. Undergrad Institution: Top 35 undergrad, no statistics department, math department isn't that well known, cs department is completely unknown (no grad program) Majors: Math, Computer Science GPA: 3.94 (overall), 3.88 (Math), 4.0 (CS) Type of Student: Domestic White Male Courses/ Background: Math Courses: Honors Multivariable Calc (A), Honors Linear Algebra (A-), Differential Equations (A-), Probability (A), Mathematical Statistics (A), Analysis I (B+), Analysis II (A), Graduate Real Analysis (included measure theory) (A), Stochastic Processes (A) I also took an independent study in a topic in knot theory/topology. Computer Science Courses: All A's Data Structures, Computer Systems, Computer Organization, Sophomore year theory courses, Object Oriented Design, Distributed Systems, Artificial Intelligence I also took an independent study in machine learning. I'm proficient in Python, R, and Java, and I know a few other languages at a decent level. This fall I'm taking the first half of a year long Abstract Algebra course, undergraduate Complex Analysis, Algorithms in the CS Department, and I'm doing a thesis in ML in the CS department with the professor I did an independent study with. GRE: Taking mid-August, will probably get 90+ percentile Research Experience: Attended a SIBS program last summer, currently at an REU in a different biostats department than my SIBS program working on an ML project, will be working on my senior thesis while applying Awards/Honors/Recognitions: Dean's List, Sophomore and Junior awards for being in top 5% of class, Pi Mu Epsilon (Math honors society) Pertinent Activities or Jobs: Grader for the math department since the beginning of my sophomore year, TA for the CS department since the beginning of my sophomore year (last semester and this upcoming semester I TA'd for the professor I'm writing the thesis with) Letters of Recommendation: -CS professor I'm writing the thesis with (also took two classes previously with him in addition to the independent study/ TA'd for him last semester and this upcoming semester), should be very good -Math professor I took the independent study in knot theory/topology with (also took Honors Linear Algebra, Graduate Real Analysis with him), should be pretty good -Professor I'm working with at the REU this summer, should be as good as a rec letter can get after a summer of research Thinking of applying to: Stats: Chicago, Washington, Harvard, CMU (joint stat+ml), Duke, Penn, Wisconsin, Michigan, Columbia, Cornell, UCLA, Yale, Rice Biostats: Washington, Harvard, UNC, Michigan, Minnesota Some questions: -Where do I stand with these schools as is? (Since my profile is pretty much fixed at this point) -Does anyone know if for CMU's joint stat+ml program, if you're rejected from the joint program you're still considered for the stats program alone? -I'm trying to decide whether to apply to Berkeley stats or biostats. Does anyone have any insight into how closely the biostats students interact with the stats department? There's a lot of faculty I'd like to work with in the stats department and I'm not sure if I'd be cut off from them in biostats. -Is it worth it to apply to Stanford without taking the math gre? I've seen people say that it's possible for domestic students to get in without it. Thanks!

@compscian Thanks for the suggestions! The thing is I'm interested in stats/biostats overall, and machine learning/statistical learning is an area of research I think I'd like within stats/biostats, so I'm trying to see which programs are stronger.

Hey everyone, I'm looking into statistics and biostatistics programs to apply to in the fall, and I'm trying to find programs that have faculty doing research in machine learning/statistical learning/ related fields. So far for statistics it seems like the following schools have a decent amount of faculty doing research in ml: Stanford (Hastie, Tibshirani, etc.), Berkeley (Bartlett, Bickel, Jordan, Wainwright, Yu, etc.), Chicago (http://ml.cs.uchicago.edu/), Washington (http://www.stat.washington.edu/graduate/programs/machinelearning/), CMU (http://statml.cs.cmu.edu/), Duke (http://machinelearning.duke.edu/), Penn (http://priml.upenn.edu/People/People), Wisconsin (https://machinelearning.wisc.edu/), Michigan (Scott, Ji Zhu, Tewari, Long Nguyen, etc.), Columbia (http://www.stat.columbia.edu/ml.html), Cornell (Bien, Hooker, etc.), Purdue (https://learning.cs.purdue.edu/sml/start), Ohio State (http://www.stat.osu.edu/~dmsl/index.html). However for biostatistics, it seems that only Washington (http://depts.washington.edu/slablab/) and Berkeley (because their biostats group is closely tied to their stats department) have faculty doing ml research. Have I missed any important schools? Are there really just not a lot of people doing ml research in biostatistics departments?

Hey everyone, I'm going into my senior year of undergrad, and I'm planning on applying to stats and biostats programs in the fall. I'm currently in the process of picking classes for first semester, and I'm considering just taking Algebra I (as part of my math major, taking Algebra II second semester), Algorithms (for my CS major), and a 6 credit thesis in the CS department on machine learning (specifically convolutional neural nets, which I'd continue second semester). So altogether I'd be taking 12 credits, half of which would be a thesis. Would this look bad to grad schools? Should I add on an extra class (it'd probably be complex variables)? I've already taken all of my other math and CS major classes, and all of the prereqs/ relevant classes for stats/biostats that are available at my school (namely multivariable calc, linear algebra, probability, math stats, stochastic processes, analysis I&II, graduate real analysis, a bunch of CS classes including AI and an independent readings on machine learning). I'm not sure whether the fact that I've already taken all of the relevant classes for grad programs makes it ok that I'd only be taking 2 classes and a thesis when applying.

Thanks so much for the feedback everyone, I really appreciate it! Doesn't Michigan biostats do something similar, or is it more direct than Columbia? Would the funding be less because of it being for the MS instead of PhD, or just funding in general for Columbia since it's in NYC? So stats programs in the 6-10 range like CMU or Duke would be possible? What would be the best way to determine the research strengths of each school? I can get a general sense from the departments' websites, but I don't know what to look into past that, in terms of publications, journals, etc.

Hey everyone, so I just finished my sophomore year of undergrad and I'm planning on applying to biostatistics/statistics PhD programs next year (Fall 2016). I was hoping I could get feedback on the following: -What could I do to strengthen my profile? -I was a bit worried about my B+ in the first semester of my Analysis class, but the A in the second semester should make it fine, correct? -Where I stand in terms of competitiveness for the schools I want to apply to? -Are there any schools that I didn't list that I should apply to (or schools that I did list that I shouldn't)? -What schools should I apply to that would be "safeties" (as much as a school can be a safety when applying to grad school)? Thanks in advance! Undergrad Institution: Top 35 undergrad (no statistics department, not well known for its math department) Majors: Math, Computer Science GPA: 3.93 (overall), 3.857 (Math), 4.0 (CS) Type of Student: Domestic White Male Courses/ Background: Honors Multivariable Calc (A), Honors Linear Algebra (A-), Differential Equations (A-), Probability (A), Mathematical Statistics (A), Analysis I (B+), Analysis II (A) I've received all A's in my CS classes (data structures, computer organization, computer systems, etc.) so far and am proficient in Java, Python, and C. I have some experience with R and Mathematica. I'm planning on taking Graduate Real Analysis next year, complex analysis (not sure about undergrad or grad yet), stochastic processes, and maybe topology in the math department. I'm planning on taking artificial intelligence and machine learning classes in the CS department (along with some other classes that don't have relevance to math or stats). GRE: Taking this coming year, hoping for 90+ percentile in quantitative Research Experience: None so far, attending a SIBS program this summer, hopefully doing some sort of REU next summer Awards/Honors/Recognitions: Dean's List, Sophomore Award for being in top 5% of class Pertinent Activities or Jobs: Grader for math department for last two semesters, TA for CS department last two semesters Letters of Recommendation: Not sure who I'm going to ask yet Thinking of applying to: Stats: NCSU, UC Davis, Rice, UC Santa Barbara Biostats: Washington, UNC, Michigan, Minnesota, Penn, UCLA, Columbia, Emory, Brown, Yale, BU, Pitt