Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

[D] MS in CS or Statistics? (alien.top)

submitted 11 months ago by Ultra_Amp@alien.top to c/machinelearning@academy.garden

4 comments fedilink hide all child comments

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.

you are viewing a single comment's thread
view the rest of the comments

[–] Ok_Possibility_4689@alien.top 1 points 11 months ago

I think it will be more useful if you focus on statistics. You can focus on statistics while getting an MS in CS. CS is more aligned with MLE or even Data Science. But you can do it the other way around, as these two fields often get overlap.