StatPhDHopeful

Bayesic, thanks for your response. I admit to not knowing much about the academic terrain in Statistics. I picked the schools that I listed based primarily on geographic preference. Along those same lines, I would also be interested in programs in the Southern Ontario area (e.g. Queens, U Toronto, U Waterloo, UWO). Are there any resources that provide a good overview of Statistics departments from the perspective of a prospective PhD student?

I want to pursue a statistics phd, but I am not sure that I have the appropriate background (I am not a math major...). I provide highlights of my profile below. Undergraduate US University Engineering Major GPA: 4.0 Relevant Coursework: Calculus (A), Multivariate Calculus (A), Linear Algebra (A), Discrete Math (A), Engineering Probability (A), Engineering Statistics (A), Engineering Stochastic Models (A), Honors Real Analysis (A), Object Oriented Programming (A) Graduate Masters Degree (mostly PhD coursework though) US University Engineering Major GPA: 3.9 Relevant Coursework: Two semesters of PhD Engineering Stochastic Models (A and A-) I have coding experience in Java, C#, Matlab and SAS. Research Experience Nothing relevant Schools Duke Columbia Cornell UCLA Yale Rice NYU Northwestern Do I have a shot at any of those programs? I understand that many of those programs "recommend" the GRE Math subject test. What range of GRE Math scores might help my application for those schools? I am considering taking additional math courses such as graduate linear algebra and a second semester of real analysis. What math courses might a statistics admissions committee like to see? I have no context whatsoever at the moment, so I appreciate any comments/ advice.