Focus is Wrong
At the end of the day we have put an end to this fad-ish culture and see the bigger picture - the likelihood that the Data Scientist jobs that are being created will be in abundance when students graduate is very low. Even if I saw a report from a respected consultancy projecting that a 13 year old studying big data that's likely to be able for a maths degree will be able to get a job in big data after a PhD (ie 14 years time) or after just a primary degree (10 years time), from experience in predicitive modelling, you can't really trust projected data, even simplistic projections much beyond 2-3 years.
What would be more beneficial is to stop this flawed idea of tailoring education to employment trends, which are usually misunderstood and temporary at best. I mean when I was in secondary school it was "oh, IT is the way to go", but by the time I'd graduated there had been TWO RECSSIONS in the field. People need to wake up to fluidity and prepare accordingly.
Better would be to address the fact that I have to explain to people why rebutting with "but there's loads of data science jobs out there" doesn't even adress my point, never mind rebutt it, or even validly (I mean look up the definitions of "argument", "rebuttal" and "but" if you're confused). Aalso prefferable is to teach data analysis to educate and end the current culture where the media run rings around the public by misquoting statistics for their own purposes.I mean, it can't be that difficult to change education so kids ask more questions that an experienced worker would? Not only is this more beneficial, but this is the trait emplohyers look for in data scientists that no course teaches - and it can be taught in the classroom, contrary to this popular myth that some things can only be taught "on the job". Just toughen up on the students and get across that attention to detail is key.