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Student Type: DWF

Undergrad: BA at a top LAC, then math courses (part-time while working) at a decent large public university, now starting a funded postbacc for math (another top LAC). 

Major: English lit (BA), Mathematics (postbacc)

GPA: 3.75 overall; 3.67 math (hopefully higher after this semester)

Math & stats: At the public university: Intro to Discrete (B+), Calc II (A-), Linear Algebra (B), Calc III (A-), Real Analysis (A-), Intro to Probability Theory (A-). This semester I'm taking intro to stats, category theory*, and ordinary differential equations for the first semester of the postbacc year. (*Odd without having taken abstract algebra, I know. There was no abstract algebra course offered this semester.) 

Maths & stats, next spring: Intro to data science, stats seminar, regression, and either intro to machine learning or topology/geometry seminar (depending on how my prior stats courses go).

GRE: Cancelled this year. Debating bothering with the general. But maybe I should take it, since I'm such a weird candidate and it offers some (dubious) basis for comparison!

Research: Will be doing REUs this semester and next, TBD.

Work Experience: Nothing relevant (book editor at academic presses). 

Letters of Recommendation: I think I will have supportive letters, but from junior scholars (lecturers/visiting assistant profs/assistant profs).

Miscellaneous stuff : Obviously I am a strange applicant applying in a strange cycle. And I think it's probably obvious why I'm aiming for master's programs, though if there are PhD programs that might be a good fit, I'd love to know about them. I have a huge programming gap (among other gaps) in my background, but I'm aiming to develop sound basic knowledge of R and Python by the time I begin grad school. 

Applications: I don't know what constitutes reach, fit, safety, etc. for me with respect to MS programs. I would go pretty much anywhere for a good program that would lead into work in industry. (I am not interested in academia at all, but am considering trying for a PhD if the postbacc and start of the master's go well.) Looking for stats programs (emphasis on applied), or applied mathematics more generally (I feel I can't make a case yet for pursuing computational mathematics, but that's also of interest).

I've been looking at MS programs at Georgia Tech, Duke, UNC, Texas A&M, Rice, UWashington (biostats and applied math), and some international programs (UK and Canada). Would rather not do an online program, especially after this year. I have no idea if I'm aiming too high or without enough spread. Grateful for any input!

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