What Careers Combine High-Level Mathematics and Programming?

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Discussion Overview

The discussion revolves around the intersection of high-level mathematics and programming, particularly in the context of careers in mathematical neuroscience and related fields. Participants explore the educational pathways and job opportunities available for those with a background in mathematics who are interested in applying their skills in neuroscience, data science, and other applied areas.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • Some participants inquire about the branches of mathematics commonly used in neuroscience, suggesting fields like mathematical neuroscience, computational neuroscience, and neuroimaging.
  • One participant mentions the importance of nonlinear dynamics and recommends an applied mathematics program focusing on differential equations, statistics, and neural networks for those interested in neuroscience.
  • Another participant shares their experience in neuroimaging and emphasizes the relevance of deep mathematics, including analysis and functional analysis, in the field.
  • There is a discussion about the suitability of applied mathematics versus pure mathematics degrees for entering neuroscience and related careers, with some suggesting that applied mathematics offers better job prospects.
  • One participant expresses a desire to find a career that combines high-level mathematics and programming, specifically mentioning interests in stochastics, analysis, and data mining.
  • Another participant suggests that jobs in statistics would align well with the described interests and emphasizes the demand for statistical knowledge in the job market.
  • There is a suggestion that pursuing a master's degree may be beneficial for achieving desired career outcomes, although some express uncertainty about the necessity of further education.

Areas of Agreement / Disagreement

Participants express a range of opinions regarding the best educational paths and career opportunities, indicating that multiple competing views remain. There is no consensus on whether an applied mathematics or pure mathematics degree is superior for entering neuroscience or programming-related careers.

Contextual Notes

Some discussions highlight the limitations of undergraduate degrees in securing desired jobs, suggesting that further education may be necessary. There are also references to specific fields and job roles without definitive conclusions on their applicability or requirements.

Who May Find This Useful

Individuals interested in careers that combine high-level mathematics and programming, particularly in neuroscience, data science, and statistics, may find this discussion relevant.

Kevin_Axion
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I just have a few quick questions on mathematical neuroscience. What are the branches of mathematics that are used frequently in neuroscience? And finally, is it common for math majors to enter neuroscience in graduate school?

Yes, I'm thinking about it micro, now don't pester me!
 
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Hi Kevin! :smile:

This might not be the best forum to ask this on, but I did a little research. The fields "mathematical neuroscience", "computational neuroscience" and "neuroimaging" are very hot fields. Take a look at following links:

http://www.whydomath.org/node/HHneuro/index.html
http://neurotheory.columbia.edu/~ken/math-notes/

Apparently, in uses nonlinear dynamics a lot (which is very interesting!). In any case, you will want to do an applied mathematics program with focus on differential equations, statistics, analysis, Fourier analysis, neural networks,...

I have a bit of experience in neuro-imaging and image-compression, but it is a very interesting field. It uses quite a lot of deep and pure mathematics (mostly analysis, functional analysis, etc.). I've had the honor of following a class of one of the prominent figures of image-compression, professor Daubechies. She did a double major in mathematics and physics in my university, and worked in quantum mechanics for a while. But she then switched to image compression and did fabulous work there. So I guess that an applied math/physics degree does prepare you sufficiently for an applied carreer.

If you want to consider this path, then an applied mathematics degree is useful. Taking classes in computer science, physics and engineering is very advisable. Be sure to find a school were applied stuff is popular, though, as many pure mathematicians can get bogged down in theoretical details that don't matter...

As for job prospects and whether mathematicians really have a chance of becoming neuroscientists, you will probably have to ask people working in the field. I don't know if there are such a people on PF...
 
In another attempt to convince you of the usefulness of mathematics: take a look at the site

http://www.siam.org/careers/thinking.php

it gives all kind of possible careers of applied mathematicians. There are all kind of job opportunities out there, and very likely some you will find interesting.
 
I said applied math and your response was "no, pure mathematics only" :wink:. Although I was reluctant towards both due to job opportunities so thanks! What is better for preparation then, an applied mathematics, mathematical physics or pure mathematics degree?
 
Last edited:
Kevin_Axion said:
I said applied math and your response was "no, pure mathematics only" :wink:.

I was joking :biggrin: You mustn't take me all that serious about these things (certainly in chat). Just do what you think you'll like! :smile:
 
micromass said:
I was joking :biggrin: You mustn't take me all that serious about these things (certainly in chat). Just do what you think you'll like! :smile:

I do like math a lot it's just a matter of job opportunities. I also very much enjoy neuroscience which is a growing field so I'm trying to draw a connection which you have helped me with so thanks!
 
Kevin_Axion said:
What is better for preparation then, an applied mathematics or mathematical physics degree?

I would lean towards applied mathematics if you want the better job opportunities. The thing about applied mathematics is that it is used in so many fields, not only physics. Image processing, data mining, optimization are all studied by applied mathematics. Mathematical physics might limit you to physics thingies. (of course, this is a mathematician speaking).

Also, I want to make it clear that I have absolutely nothing against applied mathematics. These are very powerful and interesting fields. I wish I knew more about them...
 
Thanks micro, you're always of good help!
 
  • #10
Gonna hijack this thread but i have a question for micromass. If i want to do a job that requires a good level of high mathematics but also want to program with these mathematics, what kind of jobs are out there? By high level mathematics, i mean just some undergraduate courses on stochastics, analysis, data mining, etc..?

I'd also like to take knowledge in computer science (at the undergraduate level for 3rd and 4th year classes) and apply it as well.

Basically i want a job that optimizes an undergraduate degree that has specialization in statistics and computing. Possibly without taking a masters degree.
 
  • #11
kramer733 said:
Gonna hijack this thread but i have a question for micromass. If i want to do a job that requires a good level of high mathematics but also want to program with these mathematics, what kind of jobs are out there? By high level mathematics, i mean just some undergraduate courses on stochastics, analysis, data mining, etc..?

I'd also like to take knowledge in computer science (at the undergraduate level for 3rd and 4th year classes) and apply it as well.

Basically i want a job that optimizes an undergraduate degree that has specialization in statistics and computing. Possibly without taking a masters degree.

You really shouldn't me for such a things, I don't think I'm very qualified to give a decent answer. You should ask twofish-quant, he knows quite a lot of such a things.

But anyway, I kind of doubt that an undergraduate degree alone will get you what you want. I'd consider doing a masters degree.

I think there really are lots of jobs out there that you describe. Basically every job as statistician will give you what you want. You only need to choose what kind of statistics interests you the most. Also see this: http://www.siam.org/careers/thinking/fields.php

People with knowledge of statistics are really in high demand, so you should find a job fairly easily.
 

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