It's part of a good foundation for measure theory which is part of a good foundation for probability which can be used in any type of computational role. Also, understanding a bit about manifolds, neighborhoods, and things like that are a big part of deep learning theory. I am only acquainted with undergrad topology, but I would say it has had more of an impact on my work and projects and future learning than quick sort ever has or <insert random CS degree topic here>.
Tangentially, it is a great topic to learn in general for those with a math interest and a bare minimum requirement for any higher math learning.
[0] https://en.wikipedia.org/wiki/Topological_data_analysis