I'm interested in pursuing a Masters in Statistics, and am playing with the idea of a pHd.
Undergraduate: American University (one year study abroad at Waseda University), graduated Spring 2016
Major: Statistics
Minor: Mathematics
GPA: 3.63 (3.76 in major, 3.48 in last 2 years)
Honors: Dean's list 3 times, graduated cum laude
Type of Student: Half white, half asian, raised in US, bilingual
GRE: Haven't taken yet, but from practices expecting 168-170 Q and 155-160 V
Recommendations:
Statistics Professor (taken her class 3 times, currently auditing a class of hers as an alum)
Probability Professor (took his class twice as a senior with an A and A-, would remember me)
My supervisor where I work as a data analyst/consultant (not very knowledgeable in stats but could speak more to my work ethic)
Relevant Courses:
Calc 1-3, Regression, Foundations of Mathematics, Linear Algebra, Real Analysis, Discrete Mathematics, Differential Equations, Coding Theory, Categorical Data Analysis, Design of Experiments, Non parametric Statistics, Probability, Intro to Math Stat
Programming: Taken classes with SAS but not very comfortable with it. I'm ok with R (self-taught). Most of my classes used SPSS. Took a CS class in Python but still beginner level.
Experience: No real research experience. Been working as a data analyst at a non-profit since June 2016.
Schools/Programs I'm interested in:
Univ. of Pittsburgh
CMU
Texas A&M
Cornell
UPenn
In addition, what are some things I should look into when deciding which schools to apply to (there's so many).