Hi folks,
I'm in a bit of a dilemma about choosing the best possible math courses, given my constraints, in order to improve my profile for econ PhD admissions. Would really appreciate your advice on this.
Background: Undergrad from a ~top university in India, MSc. from a ~top university in Europe. Unfortunately, no separate math classes during my MSc. During my undergrad, we had two 'mathematical methods for economists' (MME) courses which provide some basic training on most of the math topics one expects before a PhD: calculus, probability, linear algebra etc. However, the MME courses are not nearly as rigorous as standalone courses like Calc 1, 2, 3; linear algebra etc.
Through a process of trial and error, I've learnt that I need to show separate credits for these math courses in my profile in order to be eligible for atleast decent econ PhD programs (aiming mostly for the U.S). I've been an RA for a little more than 3 years now, have a published co-authored paper (and working towards more), and strong references from the profs I work with. So the non-grade aspect of my profile is in decent shape. I also got a 166 in the GRE quant, which I took in December 2021.
Current status: I began with real analysis from UIUC's NetMath program and scored decently well (got an A). I'm now taking calc 2 from Westcott Courses, which provides a credit from UMass Global (not my first choice but had no other viable option at the time).
Dilemma: I'm torn between taking calc 3 vs. linear algebra after I'm done with calc 2. Ideally I'd like to take both but I only have until December till some deadlines close. I'm leaning more towards calc 3 because my research statement/SoP leans a bit more towards asking questions that might require a theoretical approach, in addition to empirical tools. I've also had a lot of exposure to intermediate/advanced econometrics and statistics in the course of my research work as an RA, and I developed a working understanding of concepts where I needed to. I'm wondering whether this could partially compensate for the lack of a separate linear algebra course in my profile.
TL;DR: I have two possible bundles of math courses for signalling purposes in front of admissions committees: bundle A = {real analysis, calc 2, calc 3} and bundle B = {real analysis, calc 2, linear algebra}. I'm leaning towards A because I'm hoping my research experience might indicate a bit more familiarity with econometrics/statistics, and the calculus in calc 2+3 is what I need courses for. I only have a few months and a full-time job so doing both calc 3 and linear algebra is near impossible without getting bad grades. Which bundle do you think would make the most sense?
Would really appreciate your advice on this.
