Ultra_Amp

joined 1 year ago
 

A bit of background. I graduated this year with BS in Computer Science. I had a job as an MLOps/Cloud engineer, but unfortunately I got laid off. My ambition as of now is to work as an MLE or a Data Scientist (not necessarily a researcher, although that'd be dope). My question is, which would be more useful in that regard, an MS in CS or Stats? I've heard doing ML/DS specific programs can be "cash cows" and a bit shallow, so I'd rather do something more fundamental and give me more options. I'd appreciate any input you guys have! Thanks in advance.

 

This may be obvious, but I wanted to ask anyways. Currently I'm considering my grad school options, mainly so I can work as an ML Engineer afterwards. A lot of the schools I'm looking at have professional/non thesis options. I was wondering, would a non thesis masters hurt my chances of working in the ML field if I didn't really want to get a phd afterwards?