So I have a MS in Stats and a BS in Applied Math. For various reasons not related to raw ability, my GPA in Stats turned out to not be so good( 3.4) but my math GPA from undergrad is excellent ( 3.8). Should I even attempt continuing on in Stats or can I start over with a fresh plate in Applied Math? My ultimate goal is to get a data scientist job and a PhD drastically improves my chances at landing a position in a top company. A stats PhD would be more ideal as that is more directly relevant, but I'm sure that Applied Math is very reputable as well, i.e much of machine learning algorithms is based off of convex optimization, which is a subfield of applied mathematics. So which one should I apply to? And another question, is there any way to do damage control? That GPA is killing me.