Hey, I’m wondering if these choices for schools fit my profile or whether I should spend another year trying to improve my profile.
School: UCLA
Type of Student: Domestic
Background: 23 year old gay asian / white male (if “diversity” matters")
Cumulative GPA: 3.66
Awards / Honors: Phi Beta Kappa, College Honors
Major: Applied Mathematics
Math Courses: Single Variable Calc (AP/AP), Multivariable Calc (B-/B+), Intro LA (B+), Intro DEs (A-), LA I (B-), ODEs (C+), RA I (B+), RA II ©, Complex Analysis (B), Mathematical Modeling (B+), Systems of DEs (A-), Varied Math (A+)
Statistics Courses: Intro Stats (A), Stats Programming (A-), Math Stats (B), Probability(A+), Regression (A-), Design of Experiment (A-), Computational Stats (A), Machine Learning (A+), Stats Research (A+)
GRE: 167 V / 168 Q / 5.5 AW
Letters: 3 Stats Profs (1 tenured, 1 senior lecturer, 1 lecturer) (at least good letters, likely 2 great letters and one good letter)
Coding Skills: Python, R, Stata, C++, SQL (with Coursera certificates to backup C++, SQL, and Python)
Second Transcript:
School: Harvard (Online Extension)
Course: LA I and RA II (A) (to try to improve on past suboptimal performance)
I’m interested in a PhD potentially in the future and need to first complete a masters to make myself a more competitive applicant.
Schools Applying To:
Stanford University (MS Statistics)
University of Washington (MS Statistics)
University of Chicago (MS Statistics)
University of California, Berkeley (MS Statistics)
Harvard University (MS Statistics)
UCLA (MS Statistics)
Duke University (MS Statistics)
North Carolina State University (MS Statistics)
John Hopkins University (MA Applied Math and Statistics)
Should I apply now? Or should I wait another year, take more courses from Harvard and take the GRE Math Subject Test?
Thanks!