Help selecting applied math or computer science

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Discussion Overview

The discussion revolves around the selection of a master's degree in applied mathematics or computer science, particularly in relation to working with physicists in simulations, data analysis, and experiments. Participants explore the relevance of various mathematical fields and programming skills in these roles.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant expresses a desire to work closely with physicists and questions the existence of positions that require a master's degree rather than a PhD.
  • Another participant suggests that programming skills, particularly in distributed computing, are valuable to researchers, noting that many physicists may prefer assistance with coding.
  • A different viewpoint encourages exploring Discrete Mathematics, highlighting its potential relevance to programming and complexity reduction in physics-related tasks.
  • One participant emphasizes the importance of finding a suitable program that aligns with personal interests and suggests that a master's in computer science with a focus on numerical techniques may be beneficial.
  • There is a mention of the need for foundational physics knowledge alongside mathematics and computer science skills, although the specifics of how this knowledge is acquired remain open-ended.

Areas of Agreement / Disagreement

Participants generally agree on the potential value of programming and mathematical skills in physics-related roles, but there is no consensus on the best degree path or the necessity of a PhD for such positions. Multiple competing views on the relevance of different mathematical fields and programming approaches are present.

Contextual Notes

Participants express varying degrees of uncertainty regarding the specific requirements for positions in physics-related programming and the balance between mathematics and computer science education. The discussion reflects a range of personal experiences and aspirations, which may influence their perspectives.

Who May Find This Useful

Individuals considering graduate studies in applied mathematics or computer science, particularly those interested in applications within physics or related fields, may find this discussion relevant.

egsmith
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I have recently switched employers to one provides educational assistance. This means they will cover the cost of tuition and books at an accredited university. It seems foolish to waste such an opportunity however I have a slight problem in selecting a major for a master's degree.

First a quick background: I am currently a computer programmer specializing in distributed computing and I have always been more interested in math. I loaded up on calculus, differential equations, and numerical analysis electives as an undergraduate. I have continued studying these areas informally even though they are not related to my work per se.

Now the problem: Ideally I would like to work with physicists, theoretical or experimental, and write the computer programs they need to perform their simulations, data analysis and/or experiments.

Do these types of positions even exist? Perhaps they require a PhD? Given the quality of tools and libraries these days I imagine most physicists are able to write their own programs in all but the most extreme cases. (So it is at least possible to work for a tool or library vendor. However, I prefer to be closer to the actual result.)

Supposing that such positions were available. Do you think it would be more beneficial to pursue a master's in applied math or computer science with a concentration in numerical techniques?

Thanks for your time.
 
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yes...you would be an asset to any researcher, not just in physics (since most are pretty lazy when it comes to coding...though with the new generations a lot of them learn to code but still want someone to do most of it) and especially since you know distributive computing

If you are able to build an numerical engines or use one(LAPACK)...ask a prof you want to work with and see if they have a summer position.

My ultimate goal is to become a 3D simulations expert in Cogsci or astrophysics, though the learning is a bit slow(my programming is slowing me down).

So if your going down that same area i suggest in brushing up on graphics to and before approaching a prof try coding a basic physics engine.
 
Discrete Math

I'm just a math person here, but I'd think about looking into Discrete Mathematics and seeing what caught your eye there. A lot of times people can program but are either too busy with their own stuff to do it or can't see how to cut down the complexity like some computer/math minded people do. I'd think Physicists needed that, but you can definitely keep your options open with either degree.

Just check out a Discrete Math book or too, check into the complete requirements for the degree though, because you could be doing some stuff you aren't really into, but graduate school is supposed to be about getting more into the stuff you like so with the right department you'll be in heaven either way - hypothetically, right?

- Vanes.
 
Thank you for the advice.
 
I think you've some great prospects, and a "package" which is somewhat atypical and as such a really potential asset ... with the amount of software dev going on people who really know what they're up to are a scarcity. These sorts of position do exist, the problem as usual is finding one and getting your foot in, but this'll probably be easiest when getting that further education of yours. I'd go with computer science with emphasis to numerical techs (but this again depends very much on the specific programme you'd be taking), since ypu get to (and can further during and afterwards) brush up your math there and much of the math of computing is really very "numerics " oriented. Then there is always the note that you need to have at least "elementaries" of physics in one form or another (but if you work very much with the mathematics & numerics of the area this can come along the way, but still needs to be addressed in one form or another).
 

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