Keep your options open for grad school. For grad school in operations research and economics/statistics, you'll want to take a lot of math. Like, maybe a double major in math. That means be on track to take differential equations, linear algebra, computational analysis, etc.
I'm just saying, someone working on a team planning an economy is going to have a grad degree, probably a PhD. If you're looking to get a PhD, you'll want to take a lot of math. That's true for OR, econ, and stats. I don't know about CS.
Could be OR and math, could be econ and math, could be stats and math, could be CS and math. For OR and econ, you'll want some of the more theory based math classes (real analysis and related courses), but also dip your toes into the computational math classes (linear algebra, computational calc, etc). CS will help with the computational classes, where you'll use matlab or python or whatever language they're using these days.
If you do CS, be sure to take stats and econometrics courses, which you would get in OR, econ, or other data oriented fields. A background in stats will help with getting into grad school.
Source: double majored in econ and math, started an econ PhD but failed out
Can I ask what its like double majoring in econ and math in terms of a career?
Math major is good prep for grad school. It leans theoretical, so not that relevant for career (outside of applied maths like differential equations, linear algebra, computational). If you know you only want undergrad, I'd say drop math and stick to data, CS, OR, and a passing familiarity with econ, especially econometrics. Undergrad econ courses are terrible in my opinion, especially if they're not calculus based.
I mean that undergrad econ bears little resemblance to graduate level econ. You know very little about "economics" after undergrad econ. Econ+math is still the best prep for econ PhD, but I don't find the econ degree all that marketable on its own.
Math/CS would be better prep for OR, data grad programs. The good stuff you learn in undergrad micro is basically just OR, maximization under constraints. Undergrad macro is a joke. Econometrics is good, and is basically the marketable aspect of an econ degree
maybe I just have a dim view of it, having done it myself. CS undergrad isn't bad, my main point was to encourage at least some math, especially where there are practical overlaps. Keeps your options open. Good luck!
Keep your options open for grad school. For grad school in operations research and economics/statistics, you'll want to take a lot of math. Like, maybe a double major in math. That means be on track to take differential equations, linear algebra, computational analysis, etc.
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I'm just saying, someone working on a team planning an economy is going to have a grad degree, probably a PhD. If you're looking to get a PhD, you'll want to take a lot of math. That's true for OR, econ, and stats. I don't know about CS.
Could be OR and math, could be econ and math, could be stats and math, could be CS and math. For OR and econ, you'll want some of the more theory based math classes (real analysis and related courses), but also dip your toes into the computational math classes (linear algebra, computational calc, etc). CS will help with the computational classes, where you'll use matlab or python or whatever language they're using these days.
If you do CS, be sure to take stats and econometrics courses, which you would get in OR, econ, or other data oriented fields. A background in stats will help with getting into grad school.
Source: double majored in econ and math, started an econ PhD but failed out
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Math major is good prep for grad school. It leans theoretical, so not that relevant for career (outside of applied maths like differential equations, linear algebra, computational). If you know you only want undergrad, I'd say drop math and stick to data, CS, OR, and a passing familiarity with econ, especially econometrics. Undergrad econ courses are terrible in my opinion, especially if they're not calculus based.
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I mean that undergrad econ bears little resemblance to graduate level econ. You know very little about "economics" after undergrad econ. Econ+math is still the best prep for econ PhD, but I don't find the econ degree all that marketable on its own.
Math/CS would be better prep for OR, data grad programs. The good stuff you learn in undergrad micro is basically just OR, maximization under constraints. Undergrad macro is a joke. Econometrics is good, and is basically the marketable aspect of an econ degree
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maybe I just have a dim view of it, having done it myself. CS undergrad isn't bad, my main point was to encourage at least some math, especially where there are practical overlaps. Keeps your options open. Good luck!