I was thinking about applying to the UCL MSc ML or MSc CSML next year, but am not sure which to go for. My bachelors is in mathematics, focusing on statistics and theoretical physics; so on one hand I'm thinking that my undergrad is more relevant for CSML, but on the other hand, I would probably end up taking mostly machine learning options anyway, so I'm not sure whether I'd learn much in the stats that I hadn't done in undergrad.
Obviously to a certain extent the preferred course will depend on the student, but I'd still be interested to hear opinions on the courses (especially from people who've taken either).
UCL MSc Machine Learning vs MSc Computational Statistics and Machine Learning Watch
- Thread Starter
- 20-08-2016 11:03
Online20ReputationRep:TSR Support TeamVery Important PosterPS ReviewerClearing and Applications Advisor
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- 22-08-2016 13:00
It really depends on what you feel you'd like to do after the course, which course you'll learn more from and which course offers options that you're more interested in.
- 14-09-2016 02:11
I'd note that if you get onto the CSML course you will start earlier than the ML course with a 2 week statistical foundation course. I'm pretty sure you can chose to move to the ML course after that so if you're not sure which to apply to then why not pick CSML and keep your options open.Last edited by alleycat393; 14-09-2016 at 09:13. Reason: Undermining someone else's advice is not constructive.