I am a Pure Physics and Pure Math graduate. I wanted to do Ph.D. in Computer Science on AI. I am currently a research assistant on AI. if my undergraduate is not related to my area interest for Ph.D., will pursuing a master degree in CS increase the chances of Ph.D. CS admission? Or should I focus on research and getting publications and go directly to Ph.D.?

Are there any other disadvantages to go to master in different fields? Is it better to stay at undergraduate focusing more in research experience?

Related: The first answer said that there are disadvantages getting M.Sc when applying to Ph.D. rather than staying in Bsc, but I guess it doesn't cover the case when the Undergraduate and Ph.D.​ area are different.

Would getting a faster MSc instead of just BSc affect admission chances for PhD?

  • Did you apply and not get in? Why not just see if the CS Ph.D. programs will take you as is? – guest Jan 26 at 19:06
  • Hi, I haven't applied but I want to have a plan since I need to save if I want to go for a master. But, thanks for the advice! – ivicts Feb 1 at 8:35

I assume you mean a master's in CS.

This might depend somewhat on where you are, but in the US it would probably have little effect. The way to learn if your background is adequate for doctoral admissions is jut to apply to a program or two. There are aspects of your education that would be good to have when studying AI.

In the US, I think that if you could get in to an MS program you could also get into a doctoral program with the same background. It might be different in EU or elsewhere, of course, especially in places that have strict rules.

But everywhere, you need to make your best case that you are qualified to begin and are a good candidate for success and that you have shown success in the things you've already done. You will find a lot of competition, of course, but no single thing will be determinative. Make your case.

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