They are generally ill equipped, but do not regard position such as analyst and engineers which would give them the foothold they would need to enter that position after a couple of years.
What they have to learn goes far beyond coding and entails getting a sense for data, the business sense that goes with it, an understanding of how to put models, etl code etc.. into production...
Most is fairly hard to teach in a classroom and rather requires practical experience in a business context, so I think the issue is more of an expectation issue than an educational issue. Although it is partially exacerbated by programs such as "Msc of DataScience", that makes student believe they would be ready for these positions straight after graduation.
You hire juniors and give them as much work as they can do with supervision.
I think the question there is "how fast"?
"You hire juniors and give them as much work as they can do with supervision." - Agree to a large extent, the main problem there is that their expectations don't usually match what they are ready for.
I believe that we should be focusing much more on pragmatic application of knowledge through apprenticeship in the later years of school.
The goal being to alleviate the feeling that you need to immediately train someone who just got done with 4+ years of training.
I don't disagree that large amounts of people graduating from computer science programs are under-equipped to enter the workforce, but maybe focus on the shortcomings of the educational system than the people coming out of it.