Undergrad/grad Institution: State school ranked between 100 and 200 Major: Statistics GPA: 3.63
Major GPA: 3.75
Type of Student: Domestic White Male
Undergrad Courses:
Calc I-III (A), Linear Algebra (B-), Real Analysis (B+), Abstract Algebra (A+), Vector Analysis (A), Mathematical Statistics (A+), Probability (A-), Stochastic Processes (A+), Data Analysis I and II (A+), PDE (A), Independent Study in Measure Theory (will be talked about in one of my rec letters)
GRE:
Q: 165V: 162W: 4.5
Programs Applying:
Biostatistics/Statistics PhD (Possibly some masters programs)
Research Experience:
Applied research project at a top 5 biostats/stats department (paper submitted for publication), applied research project at my university (paper submitted for publication and first author), statistical methods project at my university (published)
Recommendation Letter:
Research advisors (one is very well known)
Coding Experience:
R, Python
Concerns:
I am worried that schools will think I can't handle theoretical math, because of my low grades in linear algebra and real analysis. I am hoping my independent study in measure theory and A+ in abstract algebra alleviate a bit of those concerns.
Applying to:
Biostats Phd:
UNC
UC Berkeley
Vanderbilt
Boston University
University of Iowa
Statistics Phd:
University of Florida
Ohio State
UC Santa Cruz
Do you guys think I am reaching too high with UNC and Berkeley or even University of Florida? From what my colleagues have told me, the competition for biostats and stats programs have gone up significantly the past few years so I am not really sure at which schools I should apply to.
Also, with my profile, would I be able to get into a top stats or biostats masters program such as Harvard or UW biostats and UC Berkeley or CMU Stats?