My goal is to work as a researcher in the intersection of PDE’s and scientific computing (ideally as a quant researcher but that is a long shot), so my goals are centered towards getting the best applied math knowledge and placing into quant firms, as for academic goals I hope to pursue a PhD after completing my masters. Now for the programs I got in: NYU mathematics MS, Umich Mathematics MS and Johns Hopkins applied mathematics and statistics MSE. The main 2 I’m wrestling with are NYU and Umich, but any insights or advice would be much appreciated, thanks in advance.