biostatboi

Sorry I'm not really sure as I'm primarily interested in their Statistics program. Definitely ask one of the departments.

@aaaapvawgw they removed that program from the online application. I received an email in October that said: "We have decided to remove that joint program option from the on-line application. Instead, students interested in the joint Ph.D. degree in Statistics and Machine Learning should apply to the PH.D. program that best aligns with their research interests (PH.D. in Statistics or Ph.D. in Machine Learning)." This is also said here: http://www.stat.cmu.edu/phd/statml When did you submit your application?

Canadian research-based MS programs will typically fund students.

Specifically for PhD programs in Statistics, is there a consensus on when (if ever) extra letters of reference should be submitted? I have 5 potential letters, and I think they'll each be quite strong. If the schools I'm applying to allow for additional letters, do you think it's a good idea to submit all 5? It feels awkward talking about my research experience with a particular professor in my SOP and then not having a letter of reference from them. On the other hand, I don't want to irritate the committees with so many documents to read through. Let me know your thoughts. Thanks!

Do you know which schools these might be? I remember reading somewhere that state schools prefer domestic applicants but I can't confirm that.

Thanks for the reply. Yes I've checkout the previous threads and applicants with profiles similar to mine do pretty well. However, these are usually US applicants. Here in Canada, it is much easier to get in to grad school as a Canadian. I assumed that a similar phenomenon might exist in the US. Is this not the case?

Hey, I am a Canadian looking to apply to (Bio)statistics programs for the Fall 2018 term. I think my profile would do pretty well at some Canadian universities, but I have no clue what my chances are at US universities and I don't want to spend too much money on a bunch of schools that will likely reject me. So here's my profile. Please let me know what you (honestly) think. Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Math Minor(s): GPA: Cumulative: 3.89/4.0, Major: 3.93/4.0 Type of Student: Canadian Male Calculus 1-3 (A+, A, A-). Linear Algebra 1-2: (A, A-). Advanced calculus / introductory real analysis (A+). Abstract Algebra 1-2 (A+, A+). Mathematical Logic (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Regression (A+). Computational methods in Statistics (A+). Introductory stochastic processes (A+). I haven't taken the GREs yet. GRE General Test: N/A Q: V: W: Programs Applying: Statistics and Biostatistics Research Experience: One part time RA with a Statistics professor. One full time RA with a different Statistics professor. Awards/Honors/Recognitions: NSERC USRA (I believe this is similar to REUs in the US) Pertinent Activities or Jobs: Worked as a Software Engineer at a couple tech companies and as a Junior Statistician at a medical institution. Letters of Recommendation: Probably 4. Did research in some capacity with all 4. At least two of them should be very good. Any Miscellaneous Points that Might Help: Dropped a math course to make time for part-time research. This might be seen as a bad thing. Also, I am currently working on a paper but it likely won't be published until after I submit my application. However, one of my letters of rec will likely speak about it. Applying to Where: Have not decided yet. I'm looking for input here. I am heavily biased towards universities in (or close to) larger cities and schools that accept many applicants. As such, I've currently thought of: (All Statistics and/or Biostatistics PhD) Columbia Harvard UWashington-Seattle University of Minnesota - twin cities UCLA Boston University Emory North Carolina State University UChicago UPenn I'll also apply to a few Canadian schools. Thanks for your help!