Interested in my future as a mathematician

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Discussion Overview

The discussion revolves around the career prospects for mathematicians, particularly in the context of pursuing a Master's degree in Computational Mathematics versus a Ph.D. Participants explore the job market, the relevance of mathematical training to industry roles, and the evolving nature of mathematics in relation to software and computational methods.

Discussion Character

  • Debate/contested
  • Exploratory
  • Technical explanation

Main Points Raised

  • One participant is pursuing a B.S. in Applied Mathematics and is considering a M.S. in Computational Mathematics, questioning the necessity of a Ph.D. for entering the mathematical modeling sector.
  • Another participant suggests checking job postings from the American Mathematical Society to gauge current market trends.
  • A participant with a Ph.D. in topology expresses concerns about the job market for mathematicians, noting that many jobs available are not directly related to their field of study and often involve software development rather than mathematics.
  • This participant also highlights the importance of acquiring industry-relevant skills during graduate studies to improve job prospects.
  • There is mention of the difficulty in finding clear statistics regarding the employment of math Ph.D.s in industry, with some data suggesting a significant number transition to jobs unrelated to their studies.
  • Another participant reflects on the perception that programming is a form of mathematics, but argues that a degree in computer science may be more appropriate for standard programming jobs than a math degree.
  • One suggestion is made to explore the field of computer-assisted proofs and tools like Coq, indicating a trend towards integrating computational methods in mathematics.

Areas of Agreement / Disagreement

Participants express a range of views regarding the job market for mathematicians, with some indicating skepticism about the relevance of advanced mathematics degrees to industry roles, while others suggest that computational skills may offer better opportunities. The discussion remains unresolved regarding the best path for entering the job market.

Contextual Notes

Participants note limitations in available job market statistics and the potential disconnect between academic training and industry requirements. There is also an acknowledgment of the evolving nature of mathematics and its applications in technology.

Silvers931
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I am currently working on my B.S. in Applied Mathematics at AMU; and then plan on doing a M.S. in Computational Mathematics at WKU.

How is the job market for Mathematicians and can I get a job in the mathematical modeling sector with just a M.S. or do I need to pursue a PH.D?
 
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Not very useful because they don't specify what they mean by mathematician.

The job market for mathematicians isn't that great, but computational stuff might be ok. I have a PhD in topology, and it's pretty useless for getting jobs. Actually, the issue here isn't so much that I can't get a job. I probably could if I was any good at getting jobs. The bigger issue is that the jobs all have nothing to do with what I studied. Most of the former grad students I know who got jobs in industry are just doing straight software development type stuff, with not a whole lot of math involved. I know several who just have completely standard programmer jobs, and some who do some machine learning or data science.

Computational math might be different, though--I don't know. And not only that, but I believe that someone who spends graduate school with an eye towards getting a job in industry the whole time and learning the appropriate skills, beyond just the name of the degree, will have a much better chance of finding something.

The exercise I recommend is to do a mock job search to see what's out there. It's hard to find very clear statistics about it because the stats don't really tell you the full story. For example, the 2012 AMS statistics say that close to 1/3 of math PhDs got jobs in industry, but I'm not sure if there is data on what they studied specifically, and whether or not they are doing something totally different from what they studied in grad school. I think for most math PhDs, it really is a career CHANGE when you move to industry.

If you search for math jobs on Indeed or something (not that Indeed is necessarily a fair sample, but still), you get a lot of actuarial jobs (which generally turns out to be only a math-flavored job, rather than a math job, they'll think you're overqualified if you have a PhD, and if that weren't enough, the entry-level market is totally saturated, so it's really hard to get your foot in the door), data science, and some quantitative finance stuff. You'll come across some engineering jobs, too, but usually, when you look at the detailed requirements, it tends to become clear that although they will accept a math degree in theory, they are really looking for more of an engineer. So, that's why I'm sort of scornful towards my degree right now and feel like I wasted my time, even if I do get a job, even if it's high-paying and so on. But, in theory, if you get internships and stuff, you might get the kind of contacts and experience you need to qualify for a more suitable industry job.
 
Maybe software isn't so far from the Mathematics of the future:

http://blogs.scientificamerican.com/...al-revolution/

I do view programming as a kind of math, and that's kind of old news (http://en.wikipedia.org/wiki/Curry–Howard_correspondence), but the problem is that it's a kind of math that you ought to just get a BS in computer science for, at least for the standard jobs or maybe MS in computer science with lots of math classes for the more mathematical ones. Masters/PhD in math is suitable for very few jobs. A lot of get people degrees in English and get jobs, so you can always find something if you have some kind of degree plus outstanding job-searching ability. The trouble is that it probably won't have much to do with what you studied. Studying math to be a programmer makes about as much sense writing a dissertation in non-commutative ring theory if you want to be a complex analyst. Maybe there's some connection, but you're going to have a lot of catching up to do if you devote your time to something that's tangentially relevant (and for the math/programming connection, as far as grad school goes, tangentially relevant is being generous, unless your research specifically involves programming).
 
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what I was suggesting was to get interested in doing proofs by computer as math is trending that way ie learn more about coq and how its used to do proof checking.
 

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