Firstly, thanks a lot for such a detailed overview.
A prospective student here. I have an offer from ETH Zurich (not funded) and UvA (funded). I really like the weightage on research at UvA (48 CPs for thesis + potentially 2 AI Projects) which is conducive for me since I want to explore a couple of areas before I apply for my Ph.D. after masters. However, ETH is a better-ranked institute and also has a lot of wonderful labs, and is more flexible in terms of course choices.
Do you have a view on this? Given that I want to do a Ph.D. after my master’s, which option do you think will be a better fit as a preparation for a Ph.D.?
Do you have a sense of how many MS in AI students end up getting a Ph.D. at UvA or a better institute?
Hi
Firstly, thanks a lot for such a detailed overview.
A prospective student here. I have an offer from ETH Zurich (not funded) and UvA (funded). I really like the weightage on research at UvA (48 CPs for thesis + potentially 2 AI Projects) which is conducive for me since I want to explore a couple of areas before I apply for my Ph.D. after masters. However, ETH is a better-ranked institute and also has a lot of wonderful labs, and is more flexible in terms of course choices.
Do you have a view on this? Given that I want to do a Ph.D. after my master’s, which option do you think will be a better fit as a preparation for a Ph.D.?
Do you have a sense of how many MS in AI students end up getting a Ph.D. at UvA or a better institute?