I wonder what kind of recommendation you want.
University? Anywhere will work, so choose one that provides access to publishers like IEEE, Elsevier, Springer. You need access to the articles published by these publishers, and if your university doesn't provide access, it will be a headache. Sci-hub is there for help, but it cannot provide latest papers that are recently published.
If you plan to work in Malaysia, definitely prefer the MSc to be accredited by MQA.
For thesis research field? It depends what you like. AI is too general. Usually, we will say: image processing/computer vision, natural language processing, audio processing, data science, big data analytics, etc...
these are all the fields that are dominated by machine learning and deep learning algorithms recently. So, you can just simply pick one and master that field. You will be expert in one of the fields, not AI. AI is too general, and the word is only used by normal people, not experts.
Which one is easier? I don't know. I personally is in computer vision and I am finding it already got lots of things to venture. It's endless. Every month new papers are published, even professors also need to keep up.
Sorry to be honest that right here, really cannot gain some significant insight. You just need to enroll and start the study then you'll know it. The answers here won't let you know how getting a research degree feels like, and the recommendations may not be what you like.
Just go wherever you want to go, and research whatever field you want to.
In the end, it's not where you graduated that make you proud/make you successful in research. It's where you publish your work, whether you are noticed by editors globally, and how impactful your research is.
This post has been edited by hellothere131495: May 17 2022, 03:37 PM
University Master in AI, master degree
May 17 2022, 03:34 PM
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