I'd say it's very statistics heavy, but it depends on the individual. They offer three different tracks: computational, business, and analytical tools. If you pick the analytical tools track your classes will be more stats heavy.

Most of the core classes (like machine learning) are more math based. In machine learning, it's done from a mathematical/theoretical approach. Another example is regression analysis, where you learn the math before doing the practical work in R.

I have a weak math/stats background but a strong software background, which also aligns with my interests so I'm doing the computational track. As I mentioned before, most of the core curriculum is math heavy so I'm learning that aspect, but I'm also getting a ton of practical experience in machine learning and big data work.