I completed my Comp Sci undergrad in 2021 from a top 10 UK university and I agree. We had modules on networking, databases, operating systems, software design, AI, distributed systems and many more, but almost everything was surface level.
I felt as if they went for massive breadth instead of focusing on key concepts in depth. We brushed over data structures and algorithms (this is pretty poor since Leetcode-esque questions are now standard for entry level interviews), never really learning the theory behind them, when to use each one, their efficiency etc. No maths besides probability and basic calculus... Writing efficient code and unit testing was not given more than half a lecture.
Luckily, all of my uni friendship group did comp sci and we love it so often went deeper into relevant topics together in our own time, otherwise I feel like I would've found getting into the industry pretty tough. I'm a machine learning engineer now and I'm basically self-taught, my degree didn't help much at all.
I felt as if they went for massive breadth instead of focusing on key concepts in depth. We brushed over data structures and algorithms (this is pretty poor since Leetcode-esque questions are now standard for entry level interviews), never really learning the theory behind them, when to use each one, their efficiency etc. No maths besides probability and basic calculus... Writing efficient code and unit testing was not given more than half a lecture.
Luckily, all of my uni friendship group did comp sci and we love it so often went deeper into relevant topics together in our own time, otherwise I feel like I would've found getting into the industry pretty tough. I'm a machine learning engineer now and I'm basically self-taught, my degree didn't help much at all.