a563

well this is entirely false

yeah but your shit personality will probably exclude you from them too

Recently accepted an offer, so I figured I should post my results here. Undergrad Institution: Canadian university, fairly well-known for mathematics and statistics Major(s): Statistics Minor(s): Pure Mathematics GPA: 3.78 (based on WES evaluation) Type of Student: Canadian citizen, male, minority GRE General Test: Q: 166 (93%) V: 165 (95%) W: 4.5 (78%) GRE Subject Test in Mathematics: Not taken Programs Applying: Biostatistics PhD Research Experience: 2 full-time and 1 part-time with stats professors at my school. Potential co-authorship on 1-2 papers. Awards/Honors/Recognitions: Dean's List for several semesters, undergraduate research award Pertinent Activities or Jobs: TA for a few courses, 1 year's work experience in analytics at a tech company Letters of Recommendation: All three from research supervisors Any Miscellaneous Points that Might Help: Taken a few grad stat classes Applying to Where: (all Biostatistics PhD) Washington - Admitted with funding (accepted offer) Michigan - Admitted to MS program with funding North Carolina - Admitted with no word on funding Harvard - Rejected after phone interview UC Berkeley - Rejected Minnesota - Waitlisted

Thanks for the reply! Of my list, which would you say are more likely, and which would be overly optimistic?

I posted a long time ago, but now that I'm actually applying and have a list of schools mostly complete, I figured I'd check in again! School: Canadian university, reputable for math and stats Major: Statistics GPA: 3.75 (estimated - my school does not have a 4-point scale; also, higher if only considering major classes or all classes in previous 2 years) Research experience: Part-time research with a professor in biostatistics; full-time research with two others (one statistics, one biostatistics), with potential to be coauthored on one or two papers. Letters of recommendation: from the three professors above GRE: Not yet taken Schools (all PhD Biostatistics): Harvard, Washington, UC Berkeley, Michigan, UNC Chapel Hill, Minnesota, UW-Madison Appreciate any feedback!

Hi everyone, I'm looking to apply for Stats or Biostats PhD programs for Fall 2014 entry. I was just wondering what weight is given to prerequisite math courses relative to stats courses taken in upper years. My marks in Multivariate Calc and Linear Algebra are not the best (B and A- respectively). However, my overall GPA is 3.7-3.8 (roughly, since I'm converting marks from a Canadian university), and I've gotten really high marks on almost all of my upper year stat courses, including two that were concurrently offered as grad courses (GLM and Statistical Inference). Basically, I'd just like to know if my good upper-year marks can make up for my less good ones from earlier. Any advice is appreciated!