Data science and computer science are two definitely different things. In computer science, they're not gonna teach you how to use the tools you'll use in a programming career, more than they'll teach you how those tools were built. In data science you're basically a DBA with a statistics background. Either piece of paper you get, and sometimes with neither, your outcome will mostly depend on how self-motivated you are to git gud at the bullet points and buzz words employers are looking for. And in this market you gotta be ready to work the job boards with every bit of tech and sso savvy you get, you're gonna be sending off a hundred applications unless you "know a guy". Employers are leery to hire juniors because they're worried they can't recoup their education investment before you leave 1 year in for higher pay. If you're self-motivated and have a github that shows it, you can generally find your way. Big companies are more likely to hire any warm body with a degree. Maybe not in this specific market, I know seniors who have been jobless and looking for a year. But this is just a blip, by the time you're educated it'll be a different market, still hard to get in probably. Point is, being interested in the thing is the real advantage.