It is very difficult to quantify where a student "ends up" after completing a program. It is easy enough to determine what percentage of undergraduates move on to graduate school, but for post-graduate work, where do you draw the line? Immediately after graduation? 5 years? 10? Do you quantify the percentage that attempt to stay in academia? Does it have any relevance if the person gets a job after getting their degree, hates it, and quits 6 months later to open a surf shop in Cabo?
Regardless of those issues, there are some other things to consider. Many schools accept students into Master's programs only on "special case" bases, such as when an employer is paying for the degree, or the student is attending school part time prior to formally applying for a PhD program. This is not always true, but in general, it has become more difficult and expensive to fund PhD students; the cost of supporting a Master's student is in fact worse (most graduate students do not provide the university/their advisor with a return on investment in the first two years; the real gain only comes after the student is mostly done with coursework and can spend time actually doing things). Consequently, finding funding for Master's students is even more increasingly difficult.
This, combined with extremely high inflation in tuition and fees in the US, makes Master's programs quite expensive. Adding to these frustrations are the fact that some Master's programs are not optimally-designed for your objectives; as an anecdote, the university where I am studying puts more stringent course requirements on a student for the M.S. program than the M.A. program, meaning that if I wanted to do an M.S., I am essentially limited to an algebra program -- it is otherwise financially and temporally unfeasible to attempt an analysis program or topology program with the coursework requirements imposed on the M.S. degree. The M.A. degree, which requires no thesis, leaves more options open, and so I can actually specialize in the M.A. program more, despite my interest in completing a thesis in line with my job-oriented work.
So, in order to measure expense vs. quality-of-education, you truly have to consider many, many factors:
Does the university have a program for you in-name-only (as in, they may offer the program on paper, but is it really something designed for what you want to use it for)?
Are you able to qualify for loans, in-state tuition, scholarships, or other support?
Do you intend on going to school full-time?
You are concerned with industry placement. Which industry?
How do you intend to leverage your Master's degree for career gain? (This question is particularly important to understand, since you are explicitly looking to enter industry). Do you intend to do so through contacts, publications, experience, original research, or ...?
So in short, there are many good programs everywhere. Without knowing where you are from or what you can qualify for, it is impossible to give a proper valuation of a university that suits your needs. What you should really be looking at is first: what's the best university that suits your interests; second: how do you intend to pay for it AND support yourself during that time (after all, food is very important to mathematicians); third: what do you intend to do after completing the program.