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.

  • fediverser
    link
    fedilink
    English
    arrow-up
    1
    ·
    11 months ago

    This post is an automated archive from a submission made on /r/MachineLearning, powered by Fediverser software running on alien.top. Responses to this submission will not be seen by the original author until they claim ownership of their alien.top account. Please consider reaching out to them let them know about this post and help them migrate to Lemmy.

    Lemmy users: you are still very much encouraged to participate in the discussion. There are still many other subscribers on !machinelearning@academy.garden that can benefit from your contribution and join in the conversation.

    Reddit users: you can also join the fediverse right away by getting by visiting https://portal.alien.top. If you are looking for a Reddit alternative made for and by an independent community, check out Fediverser.

  • Sir-VietteB
    link
    fedilink
    English
    arrow-up
    1
    ·
    11 months ago

    I’d go for the statistics course. You can get recognised CS qualifications by getting certifications from the cloud companies (AWS and Azure), but it’s hard to come by recognised math qualifications outside of university. So do the Masters in Stats, and you can always study CS on your own later.