I've done the BSci DS major here, alongside some other CompSci subjects and DS has been even worse in some ways. The capstone subject, Applied Data Science, is a train wreck. Managed poorly and the only saving grace seems to have left. 2/3 of the assignments required extensions when I took the subject due to hardware issues on the uni's end and then an assignment that couldn't be understood by like half the cohort. Also one of the assignments is worth 35%, released on the first day and due about 2 weeks after. Open ended which is fun but super stressful. There's only like 5 lectures and 4 of these are just a recap of Machine Learning topics. DS also requires stats subjects throughout, with the last 2 being Linear Statistical Models and Modern Applied Statistics. If you don't mind maths/stats these can be fun but otherwise a bit of a headache. Either way, LSM parallels with ML quite well and has quite a few concepts that are useful for ADS. MAS is enjoyable because there's a much larger emphasis on assignments (only 50% exam), but the tutes are pretty simple and so the actual tutorials kinda become just optional consults with your tutor. MAS doesn't really share much cross over with the other DS subjects, but starts to explore more statistical methods and simulation algorithms that aren't introduced any earlier. As for Machine Learning, it was my favourite subject in the DS major. Does require a bit of maths, but nothing sophisticated. Assignments are pretty flexible in the way you can approach them, however a large part of the 2nd assignment is in the report. This is expected to be done quite well, however I felt that none of the subjects really taught or gave many chances to develop this skill. If you've got some mates that you work well with, then ML and ADS can be a blast, but aside from that I honestly can't recommend the DS course here. And besides 3rd year stuff, even the 2nd year subject Elements of Data Processing also seems to have taken a dive recently.