Best curriculum for computational and quantitative biology?

Question

[limythless]

After two years of Biology I switched to Computer Science and I wish to gain the necessary skills to become a "computational biologist/neuroscientist")

(Here we don't have the "major/minor" system, we can choose one subject and, at least, 2 "external" exams)

The problems are: 1) math level (just algebra, probability, integrals and some differential equations)...no vector, real and complex analysis

2) no physics (!) just one optional general exam.

Maybe it's the wrong degree for someone interested in simulation, system biology and computational biology.

Better move to PHYSICS? (Physics Bs and Ms have mandatory courses like C, numerical analysis, computational physics. There is a specific Ms in Biophysics and one could integrate with some CS courses)

P.s. In our CompSci degree there's an AI exam and the possibility to obtain a degree thesis on AI applied to biomedicine problems...but I think that is not enough

Answer 1

[Jean-Karim Heriche]

Computational biology is now a vast field. What skills are needed depends very much in which area you work in. You mention neuroscience which also represent a large area of biology with a very diverse sets of approaches. Some universities also have a computational neuroscience program like here. Maybe you can have a look at what they teach in these programs. Otherwise, in general, what I found useful is to have a good understanding of the area of biology one is working in and a solid foundation in math/statistics on which you can build for the rest of your career.