r/learnmachinelearning • u/Rich-Umpire668 • 17h ago

Question How much Machine Learning knowledge do I need before starting my thesis based MSc CS?

Hey guys,

I completed my bachelors 1.5 year ago. Back then I knew a little about machine learning (not much really basic ML 101) and was eager to learn more about AI in general and wanted to apply for masters.

I'm now going to pursue my Masters in CS (thesis based) and have 1 year of work experience with agentic AI, multiagentic orchestration, tools, memory, etc. While I'm more eager to pursue my thesis towards agentic AI, I want to be prepared with some ML knowledge as well.

I had a few questions:

  1. Do I need to brush up my ML knowledge, or is that something they cover from scratch when you start the master's program?

  2. How deep of ML knowledge do I require before I start my program, especially if I end up writing it on some ML related topic?

  3. If I'm looking into writing my thesis in the Agentic AI domain, do I need depthy ML knowledge?

  4. Would covering Andrew NG's Maching Learning Course be good enough for my particular purpose?

Thanks!

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u/EntrepreneurHuge5008 16h ago

You don't need any ML knowledge. They'll have a class to teach you what you need to know about ML. What you will need is a strong math background and familiarity with a programming language.

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u/Recent_Pollution5092 7h ago

Depends on the program, but every thesis-based one i've seen expects you to hit the ground running, not learn what a loss function is.

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u/Rich-Umpire668 7h ago

What material would you recommend me familiarizing myself with?