My master in a no-name French tech school was mostly a software development curriculum, with some DL and scikit-learn courses tacked on. That was for the paper, the actual skills came on the job and online.
Anyone with a French engineering diploma I would consider for a data science position.
In my own personal experience, I was already done with the graduate class requirement after my 4th year, so I only had to concentrate on doing the thesis during the 5th year (though I also enrolled in a couple electives of my own choosing). For me, that year was relatively more chill than my previous years.
[1] https://www.eecs.mit.edu/academics/undergraduate-programs/me...
To me it adds negative value. And I'm not the only one [0]. Especially when the undergrad was from a weak school or something unrelated to CS.
[0] https://blog.alinelerner.com/how-different-is-a-b-s-in-compu...
Thesis masters are increasingly rare these days as American schools allow you to jump straight to a PhD program (Europe is a bit more rigid here). The other kind of Masters degree that is increasingly popular is the 5th year undergrad extension, which makes a lot of a sense (MIT started the trend here, other schools have followed).