Same for my school, though our discrete might be a bit less basic. I talked to the department head about it, specifically about calculus, and his answer was that in 30+ years of industry experience, getting a CS PhD (from an engineering university), etc. he had never used calculus in programming except as a type of problem to solve. He suggested people looking to go into fields that might require it to do a math or physics minor, but he saw no need to have everyone do it to get the major.

Linear algebra is incredibly useful and, when you know how to spot its shape, is just about everywhere.

A (long) while ago, one of my coworkers spent months putting together an enormous framework for processing some data. It was really well done - simple API, good error messages, verification at various steps, and reliable results. It was a little slow though. It was pushing 1 hour to complete a cycle, which was bumping up against other processes. A senior guy had a look at it, noticed that we could encode the data as a vector and apply some linear transformations to it, then decode afterwards. Thanks to lucky cache hits and BLAS, it took about 25 seconds to run.

Most business and web programmers would find it useless, perhaps, but if you're wanting to go into video games, simulation, physics, aerospace, robotics/internet of things (i.e. sensors), or the about to explode virtual reality field, you will most likely benefit quite a bit from linear algebra.

I've found it much more useful than my calculus classes, personally (although calculus is also useful to know for most of these industries).

Yes, those are specific industries, but that's quite a few specific industries. There's probably others that could benefit from it as well.

> I challenge you to demonstrate otherwise.

graphics, machine learning, cryptography, data compression, optimization, physics, simulations, genetics, traffic flow analysis, economics, audio processing, control systems, vision...