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Re:The STEM Crisis Is a Myth (2013) by Retric on Saturday August 31, 2019 @07:57PM (#20849571)
People with a solid STEM background may not get a job in their field, but they learn skills that are generally useful outside of their specialty. I was working with a recent MIT graduate who had a Masters in Engine Design. While his job had little to do with that, it did make use of his significant statistics training and paid a significant salary.

By comparison my coworker with a Philosophy degree had gained what he described as zero useful skills. He was also making good money, but he described his degree as little more useful than a check box on the application.

Re:The STEM Crisis Is a Myth (2013) by WalterBright on Saturday August 31, 2019 @08:10PM (#20849642)
It's true that non-CS STEM degrees are very fungible. CS degrees, however, are not.
Re:The STEM Crisis Is a Myth (2013) by Retric on Saturday August 31, 2019 @08:21PM (#20849694)
CS is still a little fungible. I have worked with many programmers without a CS degree. They often took some programming classes as part of a STEM degree and spent significant time coding in collage.

These people often go back for a masters in CS, but that’s not required to work in the field.

Re:The STEM Crisis Is a Myth (2013) by Animats on Saturday August 31, 2019 @08:23PM (#20849701)
Anyone with a real CS degree should be able to learn a new toolkit in six months. The "STEM" crisis is from companies not wanting to pay for that six months.
Re:The STEM Crisis Is a Myth (2013) by WalterBright on Saturday August 31, 2019 @08:58PM (#20849838)
That's not what I meant by fungible. You don't see CS degree'd people moving into electronics, fluid mechanics or mechanical design.

The math and mathematical techniques for electronics, fluid mechanics, statics, and kinematics is all the same. For example, a mass/spring/damper system is the same as an inductor/capacitor/resister network.

Re:The STEM Crisis Is a Myth (2013) by Animats on Saturday August 31, 2019 @11:03PM (#20850280)
Good point. Although I have a undergrad CS degree, it's old enough that I got a general engineering education, from thermodynamics to drafting. (A later MSCS at Stanford was 100% CS. And, pre machine learning, did not involve a single floating point multiply. Lots of number theory, no differential equations or statistics.)