Jaded Salaryman Posted December 20, 2021 Share Posted December 20, 2021 (edited) Hi everyone, I'm preparing to apply to MS programs in stats or applied math next year (2022-2023). Undergrad: Top 100 undergrad private (US News) Major(s): Economics & Political ScienceGPA: 3.899 Background: International Male Asian Courses taken: Undergrad class: Calculus I-II, Intro Stats, Econometrics, Game Theory, Intro Programming for Science and Engineering Grades: all A Taken at my alma mater Linear Algebra and Real Analysis I Grade: waiting (at least B+, expecting A- or A) Taken at Harvard Extension (Math E-23a) while working full time Course is an integrated, proof-based treatment of linear algebra, multivariate and elementary real analysis (but not as rigorous as Harvard Math 25 sequence) Textbooks: Ross (for analysis) and Hubbard (for linear algebra & multivariate calculus) Courses planned: Linear Algebra and Real Analysis II (Math E-23b) GRE: 163Q, 164V, 4.5W (taken in December 2017, may have to retake to boost Q) Programs Applying: All MS. Some offer both Math and Stats MS (such as Wake Forest) Stats: Kentucky, Ohio State, UGA, Idaho, Colorado State Math: Alaska Fairbanks, Arizona, Bowling Green, Boise State, Wake Forest, South Dakota State, UMass Amherst Research Experience: None. Other Experience: Industry experience (working full-time since 2018) for a big e-commerce firm in Asia. Department: production support, now moving into business intelligence Some MOOC certificates: Andrew Ng's ML course on Coursera, WorldQuant University Applied Data Science Python, R, SQL Letters of Recommendation: mostly from undergrad econ professors Need your advice In addition to Linear Algebra and Real Analysis II above, I can only take at most 2 additional courses before application deadlines. What other courses should I take? My options are limited because I am outside the US and thus can only take online courses at Harvard Extension or UIUC NetMath. I'm deciding between: Abstract Algebra: Most MS in Math programs require this, but if I apply to MS in Statistics, this seems unnecessary Differential Equations: a math professor at my alma mater recommends this over abstract algebra if I cannot take both Probability Theory: I don't want to take this course since it is CAS-ILE based and has no lectures. It also doesn't seem to involve proofs. Is this class a must if I apply to stats MS programs? Intro Theoretical Computer Science (cross-listed as Harvard CS 121): the course involves writing proof so I think it may send a good signal Stochastic Methods for Data Analysis, Inference, and Optimization (cross-listed as Harvard APMTH 207): seems very computational and little theory Is my lack of research experience and LOR from stats/math professors a big problem? Do I have a good chance of getting TAships from these MS programs? Is my profile strong enough for unranked/low-tier stats PhD programs? My goal is to work in industry after graduation, so prestige is not an issue Many thanks! Edited December 20, 2021 by Jaded Salaryman Link to comment Share on other sites More sharing options...

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