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CMU Statistics' email confirmation when you apply says: "All applicants will receive notification of their status by email no later than January 30. We realize that waiting is very difficult. However, we request that you do not call or email our offices to inquire about the status of your application." Does this mean everyone will receive admission/rejection by the end of this month? How come on the results page I see some results in Feb and March last year and the year previous? EVERYONE receiving result by end of this month seems insanely unlikely...

Ah yes, seems like Minnesota reviews based on first come first serve. Also Harvard sent out first acceptance letters late January last year. So Harvard's coming up soon too..

Does anyone know when the UW Stats (not Biostat) results will come out? Probably next week right? Last year the earliest results came out Jan 19th.

I would argue that this is not always true. In my statistical theory course (graduate level) one of the top undergrad students in mathematics (taken graduate probability, functional analysis etc) struggled in it because he only took one intro course in Statistics. A course in regression and statistical inference(math stats) is essential.

A professor Emeritus is definitely not likely to take on students for research.

Although Linear algebra and Calc III are the minimum requirements, you will definitely need Math Stats and Probability at the very least.

But that can't really be the case because most people are aware of this (distinction is 70+), and these are adcoms.. they should be very familiar with the grading system in the UK. Maybe the LORs weren't as good as you thought they would be? Or maybe it was just "bad luck" this cycle.. I mean theres a lot of noise in the admissions process, and you only applied to top schools.

Thanks for the advice, but does anyone have anything more specific for the range of schools I should be applying to? Apart from "carpet bombing the top programs" Using cyberwulf's rankings in a previous thread: TIER I Stanford; UC - Berkeley; Harvard; Chicago; TIER II UW - Seattle; CMU; Duke; UW - Madison; UM - Ann Arbor; NC State; TIER III Wharton; Cornell; Columbia; Minnesota; UCLA; UNC; Yale; What kind of shot do I have at the top 2 tiers (top 10)? What range of schools should I be looking at for safeties for Ph.D? What about Masters?

I would think that us Canadians have some sort of advantage over International students, precisely due to the reasons Cyberwulf mentioned above. Familiarity to the program may be a big one. As for whether I will be applying to Canadian schools. To my understanding, Canadian schools don't really take direct entry from Bachelors; they almost always require a Masters. This is because Canadian Masters are usually thesis/research based, and lead up to a PhD. Whereas American schools are mostly applied masters, or many schools don't even have terminal masters. I will probably apply for a few Canadian masters as backups. But I don't believe I will have much problem being admitted into Canadian masters; I am more concerned about my chances at the top American PhD/Masters programs.

I am Canadian. Thanks for the response. Our Statistics department is quite small, and not many go on and do a PhD in the States (Although it is one of the top 3 Canadian Universities), so top 1% or comparing me to previous students may be a bit tougher. Thanks a lot nontheless! Oh also, would you recommend writing a Math GRE? The general consensus is to avoid it unless I am 100% sure I can succeed? (I'm just thinking of ways to remedy my real analysis grade now) My GRE scores were 170/154/4.5

Hey everyone, I am finishing my third year at a top Canadian University, double majoring Statistics and Economics I want to keep my options open and I don't have any specific research interests at the moment, I would like to know the tier of schools that would be realistic for me for both Masters and PhD. I will be applying for Fall 2014. University: Top tier Canadian Major: BSc Double Major Stats/Econ GPA: 4.2 (on a 4.33 scale) Math courses: Calc I, II (AP Credit) Calc II: A+ ODE: A+ Matrix Algebra: A+ Intro to Proofs: A Probability: A+ Stochastic Processes: A Applied Linear Algebra: A+ Real Analysis I: B- Stat courses: Elementary Stat: A+ Regression: A+ Stat Inference: A+ Design and Analysis of Experiments: A+ Statistical Learning: B Plenty of Econ courses: the relevant ones that relate to Statistics are: Graduate Econometrics A (basically just regression with more proofs and more rigorous), Optimization (Static and Dynamic): should be an A/A+ Research Experience: Last summer I worked under a machine learning professor doing self research on phylogenetic inference, MCMC methods etc (mostly self learning, no results) This summer I will be working on PCA analysis, writing some code with another Statistics professor Both are under NSERC undergraduate research awards (the Canadian equivalent to a NSF undergrad research) I am also currently an RA for a labour economist I know the main concerns are the B- in Real analysis and the B in statistical learning. How crucial will it be? Keep in mind, Canadian schools have slightly less grade inflation I believe? To my understanding in the states an A- is considered an average grade, whereas in Canada the class averages are usually B-.. I know the real analysis grade is still very mediocre Next year I will be taking 2 courses in Statistical Theory (for advanced students, has a real analysis prereq, cross listed with first year graduate sequence in our school) and probably time series. What are the range of schools (tiers) for Masters and PhD programs I should be aiming at?