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  1. I haven't heard anything yet but today I found that a new section 'NC Residency Checklist' was added to my portal.
  2. I am also waiting on UNC Biostatistics. A few days ago they told me that all the remaining applications were on the waitlist. According to the result section, UNC probably hasn't sent out many rejections yet so there may be a large waitlist. I think the probability of getting off waitlist is low at this point.
  3. Undergrad Institution: One of UBC, Toronto, Waterloo Major(s): Math/Statistics Minor(s): GPA: High 80s, 90+ in math/stat courses Type of Student: International Asian Male GRE General Test: Q: 170 (96%) V: 153 (60%) W: 3.5 (39%) GRE Subject Test in Mathematics: 870 (89%) TOEFL Score: Waived Grad Institution: Same school Concentration: Statistics GPA: ~90 Programs Applying: Statistics/Biostatistics PhD Research Experience: Part time RA with an assistant professor during undergrad. Graduate RA resulting in a master's thesis. Both related to causal inference. Paper submitted to Statistics in Medicine. Awards/Honors/Recognitions: Nothing major. Pertinent Activities or Jobs: TA for undergrad statistics courses Letters of Recommendation: One from my master's supervisor (associate prof), one from a senior prof who I took grad math stat with. One from an assistant prof whom I did my undergraduate research with. Math/Statistics Grades: Calculus 1-3 (A+;A+;A+). First year Algebra (A+). Linear Algebra 1-2 (A+;A+). ODE I (A+). Intro to Prob (A+). Intro to Statistics (A+). Real Analysis I (A-). Real Analysis II (A-). Measure Theory I (A+). Abstract Algebra (B+). Complex Analysis (A+). Mathematical Statistics I (A+). Mathematical Statistics || Casella & Berger (A+). Graduate Statistical Inference (A+). Applied Probability (A+). Stochastic Processes (A+). Applied Linear Models (A-). GLM (A). Time Series (A). Experimental Design I (A+). Experimental Design II (A+). Survival Analysis (A). Missing Data and Causal Inference (A+) Applying to Where: Biostatistics PhD: Washington - Rejected Pennsylvania - Rejected Michigan - Rejected UCLA - Rejected McGill - Accepted Minnesota - Rejected UNC - Waitlisted Florida - Pending Johns Hopkins - Rejected Berkeley - Rejected Statistics PhD: Wisconsin - Rejected Stanford - Rejected UBC - Accepted Penn State - Rejected UIUC - Rejected Toronto - Rejected Waterloo - Accepted Wharton - Rejected Some take-aways: The competition among international students has gotten very stiff in recent years. I got accepted into 3 Canadian schools I applied but got rejected across the board for US schools. I imagine that my Canadian background was looked upon favourably during admission at UBC/McGill/Waterloo. However, it appears that even for tie-2 schools like Penn State/UIUC/UCLA, the bar for international students to get in is still very high. This may have something to do with the current political climate in the US as many schools are restricting the number of international students that can enroll. With that said, there are some very strong programs in Canada or even Europe that you can consider. These programs have strong faculty members consistently publishing in top journals as well as solid placements records. If you look at UBC, the placement data indicate that over half of their graduates ended up with a faculty position, which is better than some of the tie-2 programs in the US. I encourage future applicants to look into Canadian schools as well. If you do well in these programs, you will be in a very good shape in academic market after graduation.
  4. I am fortunate to have been admitted to UBC Statistics PhD and McGill Biostatistics PhD and I am having a hard time deciding between the two. So I would like to seek out advice from you guys. My goal is to attain a faculty position. It seems that 60% of graduates from UBC went into academia while McGill did not post their data. UBC has wider range of research than McGill but McGill is a better research fit as they have a group of people doing cutting-edge research in causal inference. Also, what tier of schools in the US would be comparable to the above two schools?
  5. For Michigan Biostatistics, I randomly checked the Wolverine portal yesterday and and there was a 'view decision' link. I clicked into it and it said 'A decision has been made. Your program of application will inform you of the decision.' However, I haven't received an email yet. Since I haven't received an interview, does it mean I am rejected?
  6. Has anyone heard back from Michigan biostatistics? I saw some rejections posted. Did UIUC interview international students who study in North America?
  7. Do you know any international student who got accepted or rejected?
  8. Has any international student heard back from UNC biostatistics PhD?
  9. I have a friend who applied two years ago. He took many advanced math courses such as measure theory, functional analysis, graduate probability theory and did very well in them, but he had no statistics research experience. He applied to ~6 schools ranging from Chicago to UNC and ended up getting into nowhere.
  10. I kinda have the similar question. I am from a Canadian school and we do percentage grading. So 85-89 is an A and anything >=90 is an A+. Do admissions committees really distinguish 85 and 99 or they don't care that much above when grades are above a certain threshold?
  11. I would submit it to all schools if I were you. Since the majority of the test takers apply to math phd, 84th percentile is a very good score for statistics.
  12. It was true for UBC and Toronto before but things changed last year. I have friends who got into Toronto, Waterloo and McGill. As far as I know, Toronto expanded their statistics PhD program and now international students pay the same amount of tuition as domestic students do. This means that the school does not need to pay as much to international students as before, so they are likely to admit much more international students. Waterloo has a large statistics PhD program and admits many international students.
  13. If you have an exceptional application on everything else, i.e strong math background, publication, amazing letters, I think it is possible to get in with that score. However, I don't think submitting this score will help you, even at middle tier programs.
  14. The schools you mentioned are very theoretical and admitted applicants usually have very high mGRE score. You can check the grad cafe results section to verify this. With that said, I think your score may be too low for schools like Chicago/Columbia and I wouldn't submit it if I were you. I think you need at least an 80% to be competitive in top programs.
  15. The math GRE subject score is out. I got 870(89%), which is around the average of admitted students at Stanford. With that score, should I apply to more top schools that recommend the MGRE? Is my score good enough to submit to schools that don't require it?
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