<p>Calc 1-3
Foundations of Mathematics
Linear Algebra
Elementary Real Analysis
Intro to Abstract Algebra
Probability and Statistics I (maybe II)
Linear Programming
Nonlinear Programming
Numerical Methods
Methods of Applied Statistics
<em>maybe</em> Differential Equations</p>
<p>Stats:
Calc I-III
Linear Algebra
Prob and Stats I-II
Methods of Applied Statistics
Applied Regression and Design
Time Series Analysis
Stat Elective
Stat Elective
Stat Elective</p>
<p>(electives include: Analysis of Variance, Advanced Data Analysis, Real Analysis, Statistical Computing, Qualitative Data, etc.)</p>
<p><em>maybe</em> Differential Equations.</p>
<p>I also know C++.</p>
<p>I'm not sure what I want to do after graduation, but I'm also majoring in econ. At the same time I'm not entirely sure I want to do an Econ Ph.D in the future, so I'm not a stickler on completing all of the necessary math classes for an econ Ph.D. </p>
<p>In a very general sense, which path seems more useful? I'm a little nervous on missing out on the regression and time series classes if I go the math path. Are my worries unfounded?</p>
<p>It depends on what you mean by useful. If you want a career in academia, I would go with the first option, if it’s for getting a job working with data, I would go with the second option. You mentioned you can take real analysis as a stat elective, so that would still give you the necessary credentials if you decide to go for an econ PhD.</p>
<p>I’m not entirely sure what I want to do after graduation, but I’m thinking of a job that works with data or operations research in some capacity, or even econ related research.</p>
<p>The thing is there are useful classes in each list. For math there are the linear/nonlinear programming classes and in stats there’s regression and time series analysis. I’m not sure if it’s a big deal whether or not I miss out on any of those classes.</p>
<p>You can’t really go wrong either way. The stat path would probably be easier and give you more options career-wise IMO. I say this because statistical skills are in high demand right now because of the rapid growth of the analytics field, of which operations research is a subset of. </p>
<p>I wouldn’t base your decision on one or two classes because that’s probably not what an employer is going to base their decision on. I took a linear programming class my senior year and really enjoyed it, so I looked into operations research positions. What I found (at least where I live) was that most OR jobs were in the defense sector, and they usually required an advanced degree in applied math/OR/stats, etc. So in this case, having a military background and a grad degree, even if it’s not in OR, matters more than undergraduate coursework. I think the stats path would open more doors.</p>