Math intensive jobs: No research or teaching

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SUMMARY

The discussion centers on career prospects for individuals passionate about mathematics but seeking alternatives to traditional research or teaching roles. Participants suggest fields such as physics, neuroscience, and engineering, emphasizing that while engineering may involve less complex mathematics, physics offers lucrative opportunities. The conversation highlights the importance of considering applied mathematics and statistics, particularly in light of growing data demands. Ultimately, participants agree that a strong mathematical foundation opens up diverse career paths beyond conventional expectations.

PREREQUISITES
  • Understanding of basic mathematical concepts, including differential equations.
  • Familiarity with applied mathematics and its relevance in various fields.
  • Knowledge of statistics and its application in data analysis.
  • Awareness of job market trends in STEM fields, particularly physics and engineering.
NEXT STEPS
  • Research career opportunities in physics and its applications in technology and finance.
  • Explore aerospace engineering and its mathematical requirements.
  • Investigate the field of statistics and its growing demand in data science.
  • Learn about non-linear functional optimization and its applications in various industries.
USEFUL FOR

Students and professionals considering careers in STEM fields, particularly those interested in mathematics, physics, and engineering, as well as individuals exploring applied mathematics and statistics for future job prospects.

TylerH
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I've decided I really like math, but I'm too realistic to expect to make a living off of it alone. Are there any jobs for people who love to think, and quickly tire of calculation-based/statistics-like math.

I've considered the many engineering fields, but I'm guessing most of them would top out, in terms of math difficulty, at *maybe* some slightly challenging differential equations.

My three other considerations are physics, neuroscience, and computer science. I'm pretty sure I don't want to go into computer science, because it's one of the most exportable jobs there is. Are their good job prospects, for the next 40 yrs(Yeah, I know, it's a long time.) or so, in either of the other two?

Any other suggestions would also be appreciated.
 
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TylerH said:
I've considered the many engineering fields, but I'm guessing most of them would top out, in terms of math difficulty, at *maybe* some slightly challenging differential equations.

It's true--probably the most difficult math problem you'd find in all of engineering is solving a linear, separable PDE. Everything else is just a variant of the same old problem, just with different numbers.

TylerH said:
My three other considerations are physics, neuroscience, and computer science. I'm pretty sure I don't want to go into computer science, because it's one of the most exportable jobs there is. Are their good job prospects, for the next 40 yrs(Yeah, I know, it's a long time.) or so, in either of the other two?

Do physics--you'll be a billionaire before you're 30, and beat the coming mass outsourcing of physics jobs.
 
holomorphic said:
It's true--probably the most difficult math problem you'd find in all of engineering is solving a linear, separable PDE. Everything else is just a variant of the same old problem, just with different numbers.



Do physics--you'll be a billionaire before you're 30, and beat the coming mass outsourcing of physics jobs.

...^?


To the OP, I don't its fair to say "I'm too realistic to make a living off(math) alone." What do you consider "a living?" Majoring in mathematics won't guarantee a job, but you definitely won't be working at a burger king(unless of course, you enjoy flipping burgers). I wouldn't necessarily say that about engineering either. There are some very math intensive engineering fields. There is a Quantum Engineering group at my university, so you can imagine that may involve quite a lot of math.
 
holomorphic said:
It's true--probably the most difficult math problem you'd find in all of engineering is solving a linear, separable PDE. Everything else is just a variant of the same old problem, just with different numbers.
So the Navier-Stokes equation is a linear separable PDE?
Maybe your engineering courses never went further than Pascal's law and Bernouilli's equation in fluids mechanics?
 
AlephZero said:
So the Navier-Stokes equation is a linear separable PDE?
Maybe your engineering courses never went further than Pascal's law and Bernouilli's equation in fluids mechanics?

Please. No one uses those in practice.

... let me be clear that I am trying to employ humor. I thought the OP was being kind of cavalier about the whole, vast multi-discipline field of engineering.
 
Last edited:
holomorphic said:
Please. No one uses those in practice.

... let me be clear that I am trying to employ humor. I thought the OP was being kind of cavalier about the whole, vast multi-discipline field of engineering.

I suspected as much when you said he'd become a billionaire. :smile:
 
I don't expect to be a billionaire no matter what field I go into. (disregarding inflation) I just don't want to go to college for 8+ years to get a PhD in math to find there aren't any well paying entry level jobs. I consider well paying to be 80,000+.
 
TylerH said:
I don't expect to be a billionaire no matter what field I go into. (disregarding inflation) I just don't want to go to college for 8+ years to get a PhD in math to find there aren't any well paying entry level jobs. I consider well paying to be 80,000+.

My frank opinion is that you should not dismiss subjects that you don't yet know anything about. You might find it challenging and stimulating to get a degree in aerospace or electrical engineering--you should research these. Based on your opinions above, I think you're right not to want to go into pure math; by the same token, though, I would say you shouldn't go into physics. This is just my demi-semi-informed opinion, though.

No one can tell you for sure what the job market will look like in 8+ years, unfortunately. Even if we had a good prediction, in fact, that very knowledge would change the market, since more people would train for the jobs predicted to be in high demand, and so the demand would be lower than expected when the time finally came.
 
If you are going into math so you can get an $80,000/year job meeting lots of constraints ("I don't want to do X, Y or Z"), you shouldn't go into math. You will be disappointed.
 
  • #10
nlsherrill said:
Majoring in mathematics won't guarantee a job, but you definitely won't be working at a burger king(unless of course, you enjoy flipping burgers).

Actually, I do know people who work at places like Burger King who are in charge of coming up with the algorithms to make sure that the burgers get delivered to the right places at the right times.

Network optimization is a very complex problem.
 
  • #11
Vanadium 50 said:
If you are going into math so you can get an $80,000/year job meeting lots of constraints ("I don't want to do X, Y or Z"), you shouldn't go into math. You will be disappointed.

It depends on what those constraints are. A lot depends also on the alternatives.

(And non-linear functional optimization based on multiple constraints is a fascinating mathematical problem, which I've been spending the last several maths trying to get up to speed on.)
 
  • #12
TylerH said:
I'm pretty sure I don't want to go into computer science, because it's one of the most exportable jobs there is.

It depends on the type of job. There are some jobs which are "plumbing like" (i.e. the network is down, we need to fix it *NOW*) that can't get exported easily.

Also if the job market for technical jobs is better in China or India, then you have the option of moving to China or India.

Are their good job prospects, for the next 40 yrs(Yeah, I know, it's a long time.) or so, in either of the other two?

Personally, I've found that this is the wrong way of looking at the problem (not the least of which is because no one can tell you want the job market is in five years). Think of math as a skill, and if you can do math, you end up with more choices than someone that doesn't like or doesn't want to do math.

It's like reading. I can't tell you how reading is going to be useful, but it is.
 
  • #13
TylerH said:
I've decided I really like math, but I'm too realistic to expect to make a living off of it alone. Are there any jobs for people who love to think, and quickly tire of calculation-based/statistics-like math.

I've considered the many engineering fields, but I'm guessing most of them would top out, in terms of math difficulty, at *maybe* some slightly challenging differential equations.

My three other considerations are physics, neuroscience, and computer science. I'm pretty sure I don't want to go into computer science, because it's one of the most exportable jobs there is. Are their good job prospects, for the next 40 yrs(Yeah, I know, it's a long time.) or so, in either of the other two?

Any other suggestions would also be appreciated.

Aside from the standard applied math route, have you considered statistics? Its an applied science in demand. As the amount of data goes through the roof, we need people to make sense of it, and to do that you need statistics.

EDIT: Sorry I just caught a glimpse of "no statistics-like math" but even so I think its worth considering ;)
 
  • #14
TylerH said:
I don't expect to be a billionaire no matter what field I go into. (disregarding inflation) I just don't want to go to college for 8+ years to get a PhD in math to find there aren't any well paying entry level jobs. I consider well paying to be 80,000+.
I think we can all see why I wouldn't be good for any science/engineering field. My physics teacher would say: "80,000+ what? There's no units." I meant USD. :-p

I'm not that picky. I just want to go into something that isn't mind numbingly boring. Aerospace is a good suggestion, I'm going to look into that, and EE. It's probably the fact that the only science I've been exposed to so far has been basically "Here's you alg I level formula. Remember how to plug in numbers?" and that's about it.
 

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