Learning roadmap for mathematical biology

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Which courses (at an undergrad level or master's level) in mathematics or statistics should be taken by a student aiming for a PhD in mathematical biology?

The basics I imagine are calculus courses, linear algebra and probability.

But then I would guess that other important courses would be ODE, PDE, Complex analysis(?), Fourier analysis(?) and Markov chains(?). I am unsure about the ones with (?).