Extroram

Thanks everyone for the advice! Since my interests are in Machine Learning, I know that, at least for the Top 10, I'll be applying to Stanford and CMU, with Stanford being the harder of the two to crack I assume. Would Berkeley also be a good choice for ML or is the program more on the theoretical side? Or does specialty really matter as the Masters level? Also, does anyone have recommendations for ML in the 11-20 range? Thanks!

Hey everyone, I'm here for some advice about applying to Stats MS programs next year. School: Top 5 Public Cumulative GPA: 3.70 Major: Mathematics Math Courses: Single Variable Calculus (A), Multivariable Calculus (B), Intro Linear Algebra (B+), Intro Differential Equations (A), Linear Algebra I (B-), Linear Algebra II (A-), Ordinary Differential Equations (C+), Real Analysis I (B+), Real Analysis II (A), Complex Analysis (B), Partial Differential Equations (A-), Optimization (A) Statistics Courses: Intro Statistics (A+), Statistical Programming (A-), Mathematical Statistics (B-), Probability Theory (A), Regression Analysis (A), Experiment Design (A-), Intro Computational Statistics (A), Linear Models (A), Statistical Modeling (B+) GRE: 169 V / 170 Q / 5 AW Letters: 2 Stats Profs (1 probably lukewarm, other great), 1 Math Prof (great, from my Real Analysis II Class). Should I address the C+ in ODEs? Honestly, I have no reasons other than I didn't understand the material well and I didn't have enough time to fully prepare for my final, which I likewise did poorly on. Is that all I need to say? I'd hope my grades in Real Analysis would be a good indicator of my ability for grad courses. Should I try to take the Math GRE and do well on it? Would I get any bonus for that? Also, what range of MS programs can I be competitive for? Top 10? Top 20? Thanks in advance!