Hello all,
I am hoping you can offer some insight into this.
I majored in a social science at an Ivy League institution and graduated with a 3.5 overall GPA (~3.7 major) over six years ago. The only math courses that I took in undergrad were Multivariable Calculus and Linear Algebra and I got A-'s in them. Then two years after graduating, while working in financial services, I became more interested in mathematics and decided to go to graduate school in applied mathematics. To better position myself for grad school, I took several upper divison math courses (ODEs, number theory, abstract algebra) as a non-degree student at nearby colleges and then successfully got into an Applied Math MS program at a large state school. Since graduating from that program, I have been working as an engineer for the past 1.5 years, but now I have decided to go back to school for a PhD in stats.
All the grades I have earned in math and stat classes have been A- or A (including an A in real analysis and A-'s in the graduate level probability/statistical inference sequence -- I took these classes in my MS program). So I believe that based on my performance in these classes, I would be able to hack it in a stat PhD program.
But I am just curious as to how much weight will be given to my good but not stellar undergrad GPA, especially if it is not really related to math or stats at all. Will this reflect badly on me? Or will adcoms be more impressed by the fact that I took the initiative to take math classes after graduating and did well in them?
FWIW, my Master's GPA was a 3.9. Additionally, I believe that my letters of recommendation (all from math and statistics professors) will be strong, since they will each give specific details about projects and work I've done for them, and my GRE scores are 166 V (96%), 164 Q (89%), and 6.0 W (99%).
Any feedback about my competitiveness would be greatly appreciated.