This will prepare you to be a general purpose CS professional. Further specialization will likely require some additional high level topics used in your field.
Linear Algebra : Machine Learning, Computer Graphics, Computational Geometry, etc.
Number Theory : Cryptography.
'Calculus 1' : Useful to know for 'maturity', you will likely not use it unless you implement numerical algorithm libraries.
Probability / Statistics : Heavily in Machine Learning and related fields, in small doses everywhere else just because you need to be able to create useful observations and presentations.
I would add another branch:
Logic : If you work with programming languages or verification.
Well, understanding calculus and being able to compute indefinite integrals or solve differential equations analytically on paper are very different things.
* Discrete Mathematics
* Linear Algebra
* Combinatorics
* Number Theory
* Introductory Real Analysis or "Calculus 1"
* Probability Theory
* Statistics
This will prepare you to be a general purpose CS professional. Further specialization will likely require some additional high level topics used in your field.