mblot

Hey all, I'm late here, but I'm looking at applying for Stats graduate programs for Fall 2020. Unfortunately I took a roundabout path to pursuing in undergrad (graduated last May), and took mid-level proofs-based courses but don't have the requisite Math background of Real Analysis and beyond... do I have any shot? Are there any PhD programs that would still be worth applying to, given my background? What MS ranges might be realistic (ranking 30-40s, 40s-50s, 80+, etc)? Would enrolling in a Masters w/ stronger math courses be beneficial? or is it too late to build a stronger Math background? I'm also interested in computational stats, machine learning algorithms, statistical modeling, and applied math as my coursework suggests. Undergraduate: Top 50 LAC Major: Economics-Mathematics-Statistics (combined program) GPA: 3.98 Class Rank: #7 Type of student: Domestic White Male Coursework: Calc I-III (A's), Econometrics (A), Linear Algebra (A), DiffEq (A), Intro to Higher Mathematics (Proofs/Number Theory, A), Mathematical Economics (A), Prob Theory (A) A's in bunch of applied math/stats (Stats Modeling, Design & Analysis of Experiments, Mathematical Modeling, Computer Simulations) A good amount of CompSci coursework (Data Structures, Software Design, Machine Learning, Artificial Intelligence...) Got the department award for my major & distinction on my qualifying exam, if those count for anything GRE: 167 Q, 169 V Letters of Recommendation: Strong letters from tenured CompSci, Math profs, tenure-track Stats prof Additional information: Work experience around data analytics, data engineering at tech companies. Not much theoretical/research work Potentially Applying to: University Program UW Statistics MS Colorado State U Applied Math MS or Statistics MS Oregon State University Statistics MS CU Boulder Professional Applied Math MS + PhD UC Santa Cruz Statistics PhD UC Davis Statistics MS UMass Amherst Statistics MS + PhD Boston U Statistics MS + PhD UC Irvine Statistics MS