I'm a junior at a university in the USA planning on applying to the MSc in Econometrics and Mathematical Economics. I'm an Econ History major with minors in Math and Data Science, and to wrap up my math minor, I can take a number of courses, but I've narrowed it down (I think) to undergrad real analysis, graduate level analysis (if I'm allowed to take it), or differential equations. I've heard having real analysis is helpful for grad applications, but I worry that a background without diffeq may look incomplete. I've also taken: Calc 1, 2, 3, Lin Alg, Stats (math department, calc based), econometrics, and machine learning. Which course should I take to maximize my chances of getting into EME? Or should I look towards other math classes entirely? There are some more advanced stats classes I could take in theory, but I've heard they're meh. Thank you!!