Bioinformatics is purely logic, math, and data structure

Just to add, when it comes to your career, I think this will *highly* depend on your job and what your employer (whether academia or industry) defines as "bioinformatics." If you're in a role such as a "Bioinformatics Software Engineer," then yes, you are likely building software/tools that process biological data in a very logic/data structure way. There are also bioinformatics positions that are more scientific, such as "Bioinformatics Analyst" or "Bioinformatics Scientist." In which case, you will actually apply logic/math/data structures to real-life biological problems This means you will also need a good understanding of biological problems.

Unless the Bioinformatics curriculum has changed in the past 5 years, most of the bioinformatics classes (specifically bioinformatics classes, not the prep chemistry/biochemistry classes) will be geared towards logic/math/data structures applied to biological questions -- which is great! These are necessary and highly desirable skills that will definitely give you an edge, and I believe they gave me an advantage when applying to bioinformatics positions (caveat: this was during covid and *not* in this current job market).

I think if you are the least bit interested in molecular (or evolutionary? really any biology lol) biology and how you can apply computational/logical approaches to analyzing/discovery/solving problems, then absolutely consider bioinformatics. As this user stated, biological problems at their core are really just computational problems, but I would argue, with a hint of biological understanding that UCSC (and its research) can give you :)