I'm in my first year of undergrad and plan on being in school for the next 4-6 years to get my my masters, and I'm currently thinking about my future. 1.What is a better graduate degree for becoming a data scientist, quant, or actuary? Math or Statistics? I'm also thinking about switching to engineering, and I still like computers. Is a mechanical, mechatronics, or mechanical engineering route better? Whats the best way to go about having the option to do all of them? (I'm not worried about my gpa dropping) CompSci+Math/CompSCi+MechE/Mechatronics+Math/ etc.... Thanks.

If you are considering grad school for any sort of quantitative discipline, I would recommend doing math or engineering rather than statistics undergrad, since most graduate programs will require multivariate calculus (calc 3), diff eq, linear algebra and probably at least one proof-based math class. It is pretty common for most math departments to offer some sort of probability & statistics concentration option for majors, and I would definitely recommend looking into something like that.

Applied Math vs Statistics (CS double major)

I'm in my first year of undergrad and plan on being in school for the next 4-6 years to get my my masters, and I'm currently thinking about my future.

1.What is a better graduate degree for becoming a data scientist, quant, or actuary? Math or Statistics?