<p>I am thinking about majoring in either Applied Stats and/or Economics, Computer Science or Managerial Econ with a concentration in Agricultural Economics.
I have switched out of Engineering.</p>
<p>How much harder is Engineering or computer science than Applied Stats? And is Applied Stats or General Stats harder? Is Economics easier than Stats? Also, I've read from articles that Agricultural Economics has a 1 percent unemployment rate. Is that true? How employment is an Agricultural degree at the B.S level?</p>
<p>Math is not my strongest. I really hate proofs and theoretical stuff. I'm also not good with geometry (spatial reasoning is something i suck so hard in, which is why I've chosen to switch out of Engineering). I hated math until about sophomore-junior year of hs, where there were word problems and I got to apply the math I learned to solve problems. I thought it was fun and cool.</p>
<p>How “hard” a major is depends on one’s strengths and weaknesses. I know really smart math people who wouldn’t dare to try stats because it’s so alien to them. It also depends on the school you go to, if it offers sufficiently low level courses to make it “easy”. Then again, low-level doesn’t mean easy. Once you get past the tedious introduction courses, some advanced courses may appear much easier. And if you’re really passionate about what you do, how hard it is doesn’t really matter (as long as you make progress).</p>
<p>Statistics may be applied common sense, and can appear math (or at least proof)-light, but one still needs good reasoning and mathematical skills to excel, otherwise it feels like a large set of disconnected recipes (though they are not disconnected at all). The guiding principles are very mathematical, but to deal with real data you also need to grasp the scientific problem attached to it. It’s not just about crunching numbers through your favorite statistical software. A good applied statistician needs to be a bit of a jack-of-all-trades, a quick learner and have a lot of intuition. If you have those skills, then applied statistics may be for you.</p>