Pure vs Applied Math For Programmers [closed]

Question

Math has always been my thing in that I've always found the subject easy. Computer Science is my second love, though. Given the choice, I would prefer to major in Math. Since the only careers one would usually go into with an undergraduate degree in math are not appealing at all, I would be very content spending my days as a software developer.

My question is this: Which math discipline would a future programmer reap more benefits from? Applied math or pure math?

I enjoy teaching myself and I am confident that I can teach myself how to be a great programmer, but I still plan on getting a minor in CS!

Answer 1

It all depends on what you want to do as a software developer.

If you want to go into graphics, you need a strong background in geometry, linear algerbra, matrix tranformations, (physics wouldn't been terrible either) etc.

If you want to go into SQL or other types of database programming, logic (proofs, inferance laws, etc) and Discrete Mathematics (maybe even lambda calculus) are all necessary.

But in general, the more applied math you know the better.

Pure math would be better in things like Algorithum development and theoretical programming. Maybe even map redux programming or the like.

Basically, you can't go wrong either way.

Answer 2

I'm finishing a degree in pure math currently, but I also spent a lot of time working in applied math research projects. Though every discipline draws its own cultural boundaries, the distinction between pure and applied math is often more elusive than we would like to admit. Until relatively recently in the history of mathematics, almost all of math was what we would now call "applied math." (Grant an exception for number theory if you like.) Sometimes the boundaries shift, as well. One of my research interests was motivated by an extremely "applied" problem corresponding to an actual physical system, but grew to encompass central techniques from semigroup and formal language theory, relatively "pure" topics. Remember that even Gauss, the prince of pure, spent hours calculating the orbit of Ceres by hand. (This is supposed to have motivated the discovery of least squares, so it wasn't a total wash.)

It's very difficult to say much more about your situation without specific details about coursework and research opportunities, but it would be fair to say that applied math will give you much more experience in programming. This is not to say that there are not computational problems in "pure math", (there are!), but that these will not be emphasized, and you will have to dig for them on your own. On the other hand, it seems that most folks have an easier time going from pure to applied to vice-versa. There's lots of opportunity for confounding variables here, but that may give you pause.

Ultimately, one of the most useful skills you can cultivate as an undergraduate is the ability to determine answers to the following: "what do I need a gun to my head in order to learn?" If you have interests that span multiple fields and prevent you from exhausting the course offerings in each, that question should motivate a great deal of coursework. For instance, I love automata theory dearly but I never took a course in the theory of computation because I could just read the textbook for pleasure. (Nota bene: this only works if you actually read the textbook). In differential geometry, however, I knew that I would never actually be arsed to deal with Christoffel symbols and the like unless I had a gun to my head in the form of a weekly quiz.

You should learn to recognize your own inclinations and disinclinations, and reroute around them.

Answer 3

I guess I would recommend some kind of balance.

It's certainly useful to know basic automata theory, formal languages, information theory, and basic discrete math.

It's also very useful for the many math-heavy application areas to know calculus, linear algebra, probability & statistics.

It's also very important to get no-nonsense software engineering, so you know how to analyze a problem area and propose a range of approaches to it, with pros and cons. Then be able to carry them through with a team. Understand the importance of source code control, maintainability, proper testing and quality control, and software lifecycle management.

I've seen very smart people who were shy in one or more of these areas, and it definitely holds them back. And if they are teachers, it holds their students back.

Answer 4

I think it depends on what you want to do. I've always been involved with computation, as applied to science and engineering, so applied math is the bigger part of the skill set. A lot of comp sci, strikes me as more pure math, worry about whether an algorithm exists that is NP complete and all that stuff, has never struck me as very interesting or practical. But functional approximation, PDEs, linear algebra etc. has always been pretty foundational. But if you are planning a career in general programing, I suspect this stuff won't do much for you other then development thinking skills.

Answer 5

If you think about a finance career: statistics, analysis, PDEs, Monte Carlo simulations (and assorted "maths of (pseudo)randomness"), algebra.

Answer 6

I managed to have a perfectly nice software engineering degree with a degree in Computational Math. I was lucky, my school had a program specifically for this, and it was a blend of CS and math with a focus on math that supported CS (Discrete, Abstract Algebra, Graph Theory & Networks) and math that requires some computer help (numerical analysis, linear algebra).

I guess that's "pure" math, but I never really thought of it that way - it was so focused on computers, that computational math was a really good description.

Answer 7

Programming is applied math. That said, I don't believe it makes much difference. The applied math that I took for my degree (in math) was primarily oriented towards physics which wouldn't do much for the logic that is required for programming but it works great for determining the algorithms.

Answer 8

I can count on one finger the number of times I've had to use any math more complicated than basic algebra in any project I've worked on.

It really depends on the field you go into.

Answer 9

Pure math, definitely. In particular, discrete math and mathematical logic.

The University of Illinois Math Department has an interesting M.S. program called Applied Math (Theory of Computation). It's a joint program between the Math Department and the C.S. Department. That might be the sort of thing you want, but it's a graduate program.