Hi everyone, just another potential applicant seeking a little advice. I welcome and appreciate any and all insight, recommendations, criticisms, questions, etc.
Undergrad Institution: Large State school
GPA: 3.28 (Major 3.68)
Grad Institution: Large State school
GPA: 4.0 (currently)
GRE General Test: (might retake, was falling asleep during parts of test)
Programs Applying: PhD in Statistics (maybe Biostat?)
Research Experience: Not really any research per se, but a couple of projects: one with a professor of journalism working on media framing of Islam in US, kind of a statistical linguistics project (article was not published with work I did, apparently referee was an Islamophobe, who really knows), and one outside of school with an actuary working on some demographic analysis for his business.
Letters of Recommendation: One from undergrad prof who supervised my projects, two from Grad program who are well-acquainted with my work/study habits.
Relevant Course Work:
Pre-dropout: (rarely attended classes)
Calc 1 - 3 (B, A, B+), Linear Algebra I, II (B-, B+), Limits and Infinite Series (B+)
ODEs (B+), PDEs (A), Complex Analysis (A), Intro to Real Analysis (A), Real Analysis I (A-), Statistical Methods (A-), Mathematical Biology (A), Mathematical Statistics (A), Probability (A), Abstract Algebra I, II (A, B), Regression Analysis (A), Time Series Analysis (A), Statistical Computing (A)
Mathematical Statistics I, II (A’s), Theory of Linear Models (A), GIS and Spatial Analysis (A)
Future Grad Courses:
Real Analysis/Measure Theory, and a handful of other statistics courses
Computing Skills: R, C++, ArcGIS, QGIS
Teaching Experience: Taught a year of undergraduate mathematics, will teach applied statistics this year
Minnesota (Advisor attended)
Colorado State (Two profs attended)
UCSC (looks like they do cool research here)
I know the math grades/GPA don’t look so great, but I was going through some medical/personal issues and feel I made quite a rebound after returning to school. The low LA grades I would hope are made up for in some of the more advanced math classes as well as my graduate coursework (I feel like I really got the chance to learn linear algebra properly when I took the Linear Models course). I decided to try a Master’s to see if I could handle Grad level coursework, and it seemed like it would dovetail nicely into PhD programs if I enjoyed the atmosphere.
I am much more comfortable in theoretical statistics (hypothesis testing, confidence intervals, distribution theory), but am also interested in longitudinal data, as well as mixed models, so maybe throwing in a biostatistics program here or there might be wise. It’s hard to say at the moment, but I am just enjoying learning and exploring new material. I haven’t had much exposure to the Bayesian paradigm, but feel I would really enjoy getting to explore it in a spatial/temporal/ecological setting. This year I will participate in a consulting lab, so hopefully this will help more precisely define my research interests.