Applications of Math in other fields?

<p>I figured this would be the best place to ask it. I'm a HS senior and for the longest time I was planning on majoring in engineering. After looking at what engineers do I have found myself not as appealed to that career and I do not think I am smart enough to be en engineer.</p>

<p>I love math and I am good at math. I know math and science often go hand in hand, but this last year I took honors chemistry and got B both semester. I'm taking AP Chem and AP Physics this year in and I'm barely getting an A in Physics and high B in chem. I love science and I think it is incredibly fascinating but I am not good at it. I want to be a physicist one day but I do not think that will happen when I am so bad at something as comparatively simple as high school physics.</p>

<p>I also absolutely love history. I spend a lot of time reading history books on my own outside of school. I'm sort of neutral on English - literary analysis and that ivory tower. I am strayed away from those fields though because they have dismal employment prospects. </p>

<p>Basically I love math but I do am not really appealed to any of the applications of math. Engineering, physics, chemistry, etc. are too hard for me, despite me finding it all very fascinating. I fear if I try to take on those courses in college I will immediately fail due to a lack of intelligence. For personal/political reasons I am appalled by finance or business related fields.</p>

<p>I've been trying to find math in other fields. Outside of majoring in JUST math, where are other fields that very actively use math (since you can argue that math is essentially everywhere)? </p>

<p>Well, Computer Science of course! (The is the Math/Computer Science category after all)</p>

<p>Depending upon the specific area of computer science (graphics programming v. databases) you will use different types of math skills. Speaking of databases, data science is a growing field that would use some of these skills (especially things like stats and analytic skills). </p>

<p>Whatever you pick you will spend a lot of time studying that in school and presumably working in that area later. Find something you really enjoy to study and work in. Don’t forget that most degree programs require both a major and a minor, so you might be able to combine areas like math and history. </p>

<p>I’m actually in a similar spot to yours because I love math but am awful at science and opposed to business and finance. I’m currently majoring in computer science and I’m planning to add math as my second major after I’ve taken a proofs class (to see if I’m really cut out for/interested in the major) and cs/math is a really popular combination. </p>

<p>Computational linguistics requires a fair amount of math and the ability to write fairly simple computer programs that use fairly sophisticated filters.</p>

<p>Computational linguistics is a field that I think sounds very interesting, at least at the surface. I love languages and analyzing the intricacies in each, like in linguistic theory. One thing that worries me is the job market, though. What exactly is entailed in computational linguistics, and is it relevantly applied to the real world?</p>

<p>Computer science also seems to be a fairly good option, but they seem to have boring or monotonous jobs. My brother majored in CS (he graduated like 10-12 years ago) and while he has had no problem finding jobs, he says it is not fun at all and wishes he did a different field. Based off statistics it seems most computer science majors are programmers and to me, that does not seem very fun.</p>

<p>Find out what’s exactly computational linguistics, what do they do?
What about Cognitive Science, it has a little bit CS.</p>

<p>

</p>

<p>Yes, exactly.</p>

<p>

</p>

<p>I’ll check it out, although many of the schools I’m considering don’t have cognitive science…</p>

<p>UCSD has Cognitive Science and the VP of engineering at Twitter got a PhD in Cognitive Science from UCSD. I think it might help with social media companies for some reasons.</p>

<p>Statistics is used in pretty much every field. Science, engineering, history, psychology, etc.
Calculus and differential equations are used heavily in the physical sciences and engineering.
Linear algebra and number theory are very important for computation.
Probability ties in with statistics and in understanding how to model complicated events in a useful manner.
Proof-based math is used to develop and understand new ways of applying any of the above.</p>

<p>The applications of low-level math such as algebra and geometry is hopefully pretty obvious.</p>