I am applying to a PhD program in biostatistics, and my undergrad was in B.S. applied math and limited pure math background; only topology and some analysis.
My question, though, is how much pure math is required to be good at statistical research and genetics? For my PhD, I think it may be silly to pursue genetics AND statistics specialization AND pure math courses; I think that is too ambitious.
I am seeking general advice. My interests are in statistical genetics, mathematical modeling of cancer informatics, and data analytics.