What do you want to learn? And what area do you want to work in? From a CS view math is: Discrete math and combinatorics? Really useful for proving algorit

What do you want to learn? And what area do you want to work in? From a CS view math is: Discrete math and combinatorics? Really useful for proving algorithm properties etc.. graph theory is useful as well. Statistics? Extremely useful. Linear algebra? Extremely useful as applied to statistics and deep learning. Theorem proving? Useful for determining program correctness, important in some industries. Of these, I think stats and linear algebra are the most fundamental. You can use these to build models of things and estimate parameters and create predictions. I think the critical piece is to learn how to apply these tools/concepts correctly to solve problems, determine when they are valid / what the limits are / and how to intellectually debug them. Otherwise learning about algorithmic complexity and how to solve CS type problems with algorithms is more likely to help your career.