When you say algorithmics and mathematics, do you mean all of computer science and all of maths? Do you think a single course should cover, say, Dijkstra's algorithm and partial differential equations?
Usually, each course already covers a wide array of concepts. I can't think of a single concept that was explored by different bits in different courses. The closest I can think of are 2 courses I had, one of which was focused on analytical solutions for linear algebra (matrices), and the other focused on numerical solutions to the same problems. Even then, the split did make sense, since they were focused on different concepts (mathematical objects, their properties and how to work with them in the first case, computation and more applied mathematics solutions for the second).
In the case of subjects with a very large number of students, it is possible to produce specialized modules, so you might have a university offer a separate probability-for-scientists and probability-for-mathematicians classes that it considers to be interchangable, but differs in how it covers the subject/what background it assumes.
I found a lot of redundancy by splitting things in modules. (uml, oop, sql felt like 3 sides of the same hypercoin, granted the first 2 may disappear from books soon).
algorithmics and mathematics (and other topics) may be merged into one ?
or maybe that would be pedagogically detrimental.. I feel that it would allow more time to spend on a concept since you don't have to see bits scattered in different courses.