[jlangemeier]

Computer Graphics; Data Science; and ML/AI are your obvious ones. Most engineers can benefit from it, because all you're doing is modelling systems; take a look at how Spice programs model electrical circuits as an example of this. There's a lot of math that needs an understanding of vector spaces to grasp the concepts. Most Lin Alg books and courses that are more geared towards graduate level students (so folks with the basic lin alg info under their belt) work on generalization, and it directly leads to some interesting applications in probability, graph theory, number theory, and a whole host of other more advanced topics. There's even whole programs built around solving things from a linear algebra perspective (see MatLab for example)

Linear algebra is just a tool that fits nicely in a lot of computer science and various engineering toolboxes.