I applied for Fall 2019 programs but have not heard any acceptance and not anticipating them at this point.
Undergrad Institution : Not well known public university. Ranks around 96 (among regional universities west) on US News
Major(s): Mathematics GPA: 3.6
Minor(s): Computer Science
Type of Student: Domestic, White Male
Courses taken and taking: Calculus I-III (A, C+, B), Mathematical Proofs (A), Abstract Algebra I (A), Linear Algebra (C), Topology (A), Real Analysis I,II (A),
Real Functions and Measures (C+), Functional Analysis (B+), Complex Analysis (B), Advanced Problem Solving (A), Probability I, II (A-, A+),
Stochastic Processes (A), Statistical Theory (A+), Statistical Methods (A), Linear Regression(A+), Applied Analysis of Data (A+),
Machine Learning I, II (A-, A+), Data Visualization (A), Data Science (A+) GRE General Test:
Q: 159 (72%) V: 155 (69%) W: 3.0 (17%) Grad Institution: N/A
Programs Applying: Statistics Research Experience: 1. Did time series data analysis on water quality data with statistics professor. Successfully applied for a few grants for this project.
Pertinent Activities or Jobs: Tutor, TA, and Research Assistant.
Letters of Recommendation: Two professors from stats department both implied to be very strong. One professor from math department whom I presented with at a conference.
Research Interest: Nonparametric Regression, Statistical Learning Theory, Functional Data Analysis
Applying to where:
MS (will only go if I get funding): Wake-Forest, Yale
PhD: Rice, UC Santa Cruz, UC Santa Barbara, NC State, Pittsburgh, Purdue, Iowa State, Ohio State, Cornell
Extra Stuff: Presented at JSM and MathFest. Passed two Actuarial Exams.
My advisers have been very positive about my potential in a PhD program and my likelihood of acceptance, but I don't have good sense where I fit given the blemishes on my record. I plan on retaking the GRE and have confidence in obtaining much higher scores, but am still concerned about my GPA and the poor grades in Linear Algebra and Measure Theory.