I'm entering my final year of undergraduate studies - looking to go to a good school for a Master's program (like LSE's MSc in Econ or MSc in Econometrics and Mathematical Economics).
I have a lot of econ and a lot of math, but the 'pure, proof-based math' I have really is only a few courses in probability theory and the standard Rudin RA. I received an A- in the latter which sounds bad by American standards, although in my country there is lower grade inflation (that A- represents the top 10-15% of my class - about a third of the class failed).
In my final year, I have a choice between either Real Analysis II or some more applied statistics/econometrics classes that I find really interesting. I'd prefer to take the latter, but I'd like to ask - given my background and graduate admissions aspirations, would it be necessary/helpful for me to take RA II? I'm just concerned I don't have enough pure hard math but I don't know if it's really as necessary given that I both already have a decent mark in my transcript for RA I and I am not applying for a PhD program.
Any thoughts would be much appreciated.