The lines between all of those fields is super blurry. Blurry lines between human-defined and ultimately somewhat meaningless categories is intrinsic to the fie

The lines between all of those fields is super blurry. Blurry lines between human-defined and ultimately somewhat meaningless categories is intrinsic to the field I'm afraid. The syllabus for each course with a listing of the actual topics you study is going to be far more helpful in evaluating what you want to study. The broadest lines I can draw (with the caveat that these are really fuzzy bounds) is that bioinformatics tends to be focused on drawing insights out of big data (lots of the "omics" - genomics,epigenomics, proteomics, microbiomics), while systems biology tends to be about modeling complex systems this work usually involves a lot of bioinformatics. And computational bio is an umbrella term for everything, though sometimes the umbrella is weighted more to bioinformatics than systems stuff. Might make sense to ak yourself what kind of work you want to do first. As in, do you want to have a few terabytes of data dumped in front of you that you run analytics on to find correlations? Do you want to study interactions between networks in biology and tease apart the bug picture? Or do you want to narrow in on individual protein domains and use neural nets to simulate protein folding to characterize and engineer individual sequences of amino acids that are important to understand? All of those involve computation amd involve bio, and it'll probably be easier to decide on courses/programs after you have something like that in mind and can evaluate the syllabi directly