But more as an outsider. For context, I'm a professor at one of those schools but in a different department. My field though intersects with a lot of people in CS.

From what I've heard and observed, Utah is well-respected in several CS-related fields such as video game design as well as some others. They've invested a lot in the data science and AI related areas as well and so they have some good programs in those areas. BYU is also good, but I don't think they've invested as much and they just aren't as big. One advantage of size, is that breadth usually comes along with it, which means you have more electives to choose from. From what I've heard, both schools are good at teaching the principles in CS.

USU has pretty good breadth, but isn't at the same level in CS as Utah or even BYU. Historically, USU CS has had trouble with faculty retention although they've been much better at that over the last 5 years or so, which is helping with course and program continuity. Even so, I've been told that USU CS does a good job of teaching software engineering but isn't good at teaching the science behind computer science. That's probably going to be ok for most people to get good jobs, but learning the CS principles will help you be a better and more effective programmer than not learning them.

I don't have any experience with Utah Tech, but I'd be surprised if any of their departments were overall better than a corresponding one at USU. After looking at their faculty in CS, it's a small department, which does limit the breadth in electives. They also don't have a lot of PhD professors. That's not usually an issue when it comes to teaching the basic principles that everyone has to learn. But it is an issue if you want to learn about more emerging fields like AI.

All of this with the caveat that instructor quality isn't necessarily correlated with reputations and these other things I talked about. So she may get better instructors at Utah Tech than any of those other places. But at the very least, some of her course options will be more limited and the professors are less likely to be keeping up in emerging fields.