u/CellIndependent770

I’m trying to decide between UofT Physical & Mathematical Sciences and Waterloo Math Co-op (Applied Math, scientific computing / sci ML) because I’m really interested in AI/ML and neuroscience long term, and I’ve always kind of wanted UofT, but I’m not in CS there, so I’m confused how realistic it is to still get into AI/ML from physical & math sciences — like can you actually build the same skills, take the right courses, and get research/opportunities without being in CS, or does it become a lot harder compared to Waterloo where the co-op + applied math path seems more direct for ML? I guess what I’m really asking is whether UofT is still a strong path into AI/ML if I don’t do CS, or if Waterloo Applied Math is just the more straightforward/better option for that goal. I’d really appreciate any advice! Thank you!

Hi, I got into Waterloo Mathematics co-op and I’m planning to go into Applied Mathematics (Scientific Computing / ML) in 2nd year.

I’m deciding between this and UofT Physical & Mathematical Sciences (possible Computational Cognitive Science path).

I’m really confused and would appreciate advice on:

• How hard is Applied Math at Waterloo (especially ML / computing side)?
• Is it realistic to maintain a high GPA?
• How competitive is co-op for this stream?
• What’s the social life/work-life balance like?
• Overall, which is better option if I want to go into Machine learning

Any honest input would really help. Thanks!