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fb1

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  1. thanks for the replies! Yeah I attend a top 3 Canadian school. Canadian PhD programs (with the exception of UofT) requires a master degree. Having taken so many master courses already I prefer direct entry to PhD hence why I am not applying to UBC/McGill.
  2. Also I got 166 instead of 164Q haha do you recommend schools like UC Berkeley, Stanford, and Columbia?
  3. Thanks for the reply!!! i was thinking the GRE would be weighted less this year due to the Covid situation and the unfairness of the test-at-home situation. The GRE is a pain for me to write haha.. anyways thanks for the advice and best of luck to you for your applications!!!
  4. Type of Student: International (Canadian) Undergrad Institution: Top 5 Canadian University Majors: Honours program in Comp Sci. + Stats Minor: Physics GPA: 3.75 GRE: 160V/164Q/4.5 Research Experience: 3 REU's, two of which resulted in honours theses (one CS thesis and one Stats thesis). Although I have no publications, one of the REUs resulted in a paper that is currently being worked on and will probably be submitted post-application, if that matters. Also, I wrote a "project paper" that uses tools from stochastic PDE's, analysis, and topology to prove the behaviour of stochastic algorithms which impressed a prof. I was thinking of creating a personal website to showcase these theses, projects, etc. Graduate Courses: I will be graduating with 8 graduate courses (2 of which are PhD courses): Time Series(A), Generalized Linear Models(A), Mathematical Topics in Machine Learning(A), Applied Machine Learning(A), Regression and ANOVA(A), Reinforcement Learning,(*) Computational Statistics(*), Probabilistic Algorithms(*). * denotes currently enrolled Relevant Undergrad Courses: Honours analysis I (A), Honours Analysis II (B), Honours Linear Algebra (A-) Honours Stats (B+) Abstract Algebra I (A), Other: Awarded a fellowship to conduct research over the summer. Elected into student council twice and volunteer teaching music lessons to elementary kids. Letter of Recommendations: I currently have 4 professors who said they are very happy to write letters for me. Two of which said they will write "excellent" letters for me. All the profs are well-known in their respective fields. Notes: Hey guys! I'm mainly applying to PhD programs in statistics and concentrating on the following programs (they may be a reach but fingers-crossed): 1. CMU 2. UCLA 3. University of Washington 4. Yale 5. University of Toronto In short, I think my weak points are my GPA and GRE. I'm hoping my letters and the fact that I performed well in advanced courses can compensate for them. I essentially completed a masters degree during my undergrad so I feel like I wouldn't get much out of applying to a masters program. If anyone could give their opinion on schools I am competitive for and what other programs I should look into, that would be greatly appreciated! I'll take any information on biostatistic program stoo! My backup is a masters at my current institution which I am confident I can get into. Thanks and good luck to everyone else applying!
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