Type of Student: Domestic White Male
Undergrad Institution: Ranked around 100 on school rankings
Major: Mathematics GPA: 3.7
Math/Statistics Grades: Calculus 1-4 (A+), Linear Algebra (B), Real Analysis (B), Abstract Algebra (A+), Topology (B+), Probability (A), Differential Equations (A+), Partial Differential Equations (A), Data Analysis I and II (A), Mathematical Statistics (A+).
Graduate Institution: Top 25 Math department Major: Statistics (within Math Department) GPA: 3.90
Math/Statistics Grades: Mathematical Statistics 1-3 (A-, A+, A+), Applied Statistics I and II (A), Survival Analysis (A) and other courses in applications related to machine learning and data analysis where all were A's
Additional Info: For Math Stats 1 the textbook used was Asymptotic Statistics by Van de Vaart and then Theory of Point Estimation by Lehmann and Casella for Math Stats 2 and 3. Also, I have already passed the qualifying exams with a PhD Pass for the Math Stats Sequence at my graduate institution.
GRE General Test:
Q: 166 V: 162 W: 5
Programs Applying: Biostatistics/Statistics
Research Experience: One publication on image data analysis and industrial collaboration research project with a biotech company (undergrad), and a grad student researcher for the past year
Letters of Recommendation: First letter will be from the professor where my first two research projects are from, second letter will be from the professor I am a grad student researcher for and the last one will be my professor who taught the Math Stats sequence. I expect them all to be very strong.
Coding Skills: R and C++
Concerns: I am really worried about my grades in my undergrad specifically my grades in linear algebra, analysis and topology. However, I really hope my grades during my masters make up for it.
Applying to Where:
Biostatistics
UNC
Vanderbilt
Duke
Boston University
Emory
Statistics
UC Irvine
University of Florida
University of Texas-Austin
NC State
Am I aiming too high with schools like UNC, Duke and NC State?