Here's a problem with something like data science:

First, the field is not professional like law, medicine, or even some parts of engineering. So, there's no licensing, board certification, recognized professional continuing education credits, professional job performance peer-review, legal liability, etc. Instead, you can just say that you have a Master's in data science and know some programming, database, statistics, etc.

Second, the degree isn't really a direct approach to business or entrepreneurship. So, the degree is aimed at making a person an employee. This means that somewhere there must be an employer including one ready to create a job, recruit someone for that job, and pay $120,000+ a year for the person.

Now, just who is going to create this job, e.g., put it in their budget and partly bet their career on it? And just why? I mean for what the program taught in programming, database, statistics, something else? And where will the real money actually come from, i.e., who with real P&L responsibility will actually cough up the $120,000 a year plus benefits, office space, travel, etc.? Or, let's think about the $120,000 a year: Ballpark, the full cost stands to be twice that, $240,000 a year. After two years on the job, maybe the person has actually delivered some value or is ready to start. So, the two years is $480,000. Heck, guys, even in Silicon Valley, that's a large seed round or a small Series A for a whole company and not just one employee slot!

I don't know but can ask: Are there some people at Berkeley smoking funny stuff?