Profile Evaluation - Statistics PhD

[warmest]

Hi,

I am not sure what ties of schools I should apply for based on my background because my undergraduate degree is not math/stats and none of my research experience use fashion statistics methods (I use simple regression, t-test). In addition, my GPA (3.5) is not competitive as well. I list what I gonna apply as below. Should I be more ambitious or conservative?

Undergrad School: Peking University (China)

Undergrad Major: Environmental Science                                      Undergrad GPA: 3.6 out of 4.0

Master's School: University of Michigan Ann Arbor

Dual-Master's Major: Sustainable Systems, Applied Statistics  Master's GPA: 3.6 out of 4.0 for both major 

GRE: Q = 170 , V = 154 , AW = 3.5                                                     Math Subject GRE: N/A

Courses: Satisfy most course requirement of stats PhD programs

didn't take mathematical optimization courses but other requirements should be satisfied 

Programming: R, Python, C++ etc

Research Experience: I think I have some interesting research experiences, they focus on sustainability issues and use some simple statistics methods. I am working on a paper but I don't think I can publish it before application. 

Applying:

University of Michigan,    Carnegie Mellon,   Duke,   

University of Wisconsin Madison,    University of North Carolina,    Texas A&M,   

Penn State University,    University of North Carolina at Chapel Hill,    Iowa State University

[bayessays]

As an international applicant without a strong math background, and a low GPA (especially the 3.6 master's GPA which is more concerning), you will have to lower your expectations significantly. I can't speak to what types of programs you may be able to get into, but I don't think the top 50 are likely.