Should I Choose Math or Physics for My MS Program?

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SUMMARY

The discussion centers on the decision between pursuing a Master's in Mathematics or Physics, particularly for a student with no prior physics background. The student has completed courses in Analytical Mechanics, Theoretical Physics, Physical Chemistry, and Probability, expressing a stronger interest in Probability and its applications in research. Experienced contributors emphasize that while mathematics provides a theoretical foundation, physics offers practical problem-solving skills. They suggest that an interdisciplinary approach, such as Applied Mathematics combined with Computer Science, may yield the best career prospects.

PREREQUISITES
  • Understanding of upper division undergraduate courses in Physics and Mathematics
  • Familiarity with concepts in Probability and Statistics
  • Knowledge of Computational Science and its applications
  • Basic principles of Theoretical Computer Science
NEXT STEPS
  • Research Applied Mathematics and its relevance to Computer Science
  • Explore interdisciplinary fields that combine Physics and Computer Science
  • Study Theoretical Computer Science and its mathematical foundations
  • Investigate career paths in Computational Science and its applications in life sciences
USEFUL FOR

Students considering graduate studies in Mathematics or Physics, interdisciplinary researchers, and professionals seeking to integrate Computer Science with scientific disciplines.

blaughli
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I just finished my first semester in an MS program in Physics. I have no physics background, so I'm taking upper division undergrad courses. I took Analytical Mechanics, Theoretical Physics, Physical Chemistry, and Probability. I took PChem because of my interest in the life sciences and eventually using physics to head in that direction. I took Probability because I interned last summer on a research project and realized that Probability and Statistics are immensely important in research (data analysis,...).

My issue is that I was more interested in the Probability class than anything else. The other classes seemed to be more based in observation and problem solving, while probability was based in proof. The theoretical physics class was cool too; it introduced some pretty powerful tools and concepts that will be useful down the road. Again, though, the toughest parts were the math heavy parts, like solving coupled oscillators and doing Fourier analysis (not to mention the 3D Calc E&M stuff, which was not actually so bad for me). The teacher told us that if we take the General Relativity class offered at our school we'll see a ton of linear algebra. So... if physics gets tough when it starts relying on some pretty high level math, does it make sense to go straight for a math degree and hope that I can pick up the physics later, either in a PhD program or... somewhere else?

I am also greatly interested in computer science, and I have been thinking that studying CS along with my main field (Physics, or Math if I switch) will be the ticket to a real job once I'm out of school. So... what's more powerful, math and CS or physics and CS?

I'm not trying to start a debate about which field is more important or fundamental; I'm just trying to get some opinions from more experienced folks who have struggled with the same things. Will math be enlightening but useless in the end, since it's the engineers who get the jobs (and maybe the physicists after them)? Or could it somehow lead to the kind of job I've imagined enjoying, which involves the life sciences, computing, and the ocean?!
 
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if physics gets tough when it starts relying on some pretty high level math, does it make sense to go straight for a math degree and hope that I can pick up the physics later, either in a PhD program or... somewhere else?

No. You'll find that if you started to focus on mathematics instead of Physics, a lot of the mathematics you learn will not be useful. It's very easy to get loss in the math world and prove very general ideas, when in physics you don't need general ideas, but rather how things relate to observable physical constraints. Thankfully, learning techniques on how to solve physics problems is a lot easier than learning why those techniques work.
 
It seems that for any science, there is a branch called "mathematical + <science name>". This branch is mainly concerned with developing mathematics which is applicaple to the science in question, and finding new ways to apply math to solve problems there. Needless to say, this is inherently a research-heavy theoretical field. The more applied counterpart is usually called "computational + <science name>".

I think mathematics is more useful to CS than physics. Theoretical computer science can make use of some heavy math.

I think that if you are interested in multiple fields, finding some interdisiplinary field which incorporates bioth is usually possible. Here are some links that you may want to check out:
http://en.wikipedia.org/wiki/Mathematical_and_theoretical_biology
http://en.wikipedia.org/wiki/Theoretical_computer_science
 
Computational <science> is a very applied direction (mostly synonymous with "applied <science>"). Mathematical <science> is just a sneaky way to be a mathematician in another department; probably one would need all the usual math grad school courses to be any good at it.

I have studied both math and physics at the grad level, and they are completely different styles of problem solving. Math is about truth and structure (proofs). Physics is about reality and models (solutions). From this student's comments, it sounds like they enjoy the math perspective more. Maybe "applied math" would be the best choice here since I believe it a nearly entirely computational field, it would go nicely with CS, and would give options later on for both directions.
 
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