What Math Courses Should I Take for My Physics Major?

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SUMMARY

For a physics major at Santa Clara University, essential math courses include Linear Algebra, Partial Differential Equations (PDEs), and Ordinary Differential Equations (ODEs). Advanced courses such as Complex Analysis and Numerical Analysis are also recommended for their applications in physics, particularly in quantum mechanics and real-world problem-solving. While courses like Topology and Set Theory are less relevant for practical physics applications, they may still provide valuable theoretical insights. Prior completion of Calculus I-IV and introductory physics courses lays a solid foundation for these advanced studies.

PREREQUISITES
  • Calculus I-IV (differential, integral, vector, and multivariable)
  • Introductory Physics I-IV (including modern physics)
  • Familiarity with Ordinary Differential Equations (ODEs)
  • Basic understanding of Linear Algebra
NEXT STEPS
  • Research the applications of Linear Algebra in Quantum Mechanics
  • Explore Partial Differential Equations (PDEs) and their relevance in physics
  • Study Complex Analysis and its role in evaluating integrals
  • Investigate Numerical Analysis techniques for solving real-world problems
USEFUL FOR

Physics majors, mathematics minors, and students interested in theoretical physics or graduate studies in cosmology, quantum mechanics, or astrophysics will benefit from this discussion.

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I am a second year physics major at Santa Clara University with a minor in philosophy and I am strongly considering another minor in Math. The physics program here is very small, and I decided to be a physics major after I had decided to come here, but the good thing is I get to know the professors quite well and I learn a lot because of that. I am planning for grad school but not sure which field (I am interested in cosmology, QM, astro, nothing specific...) or if I want to go for theoretical or experimental study (I am leaning towards theoretical but not sure).

Anyway, I am pretty oblivious to how much math or which math courses I may need. Because its a small school in general, the more advanced courses are offered every other year for only one quarter, and I am studying abroad next fall so my options are limited. But here are the courses that I will probably be able to take:

Linear Algebra (lower division)

Advanced Calculus, Linear Algebra II (upper division), or Probability and Statistics I but only one.

Partial Differential Equations

Ordinary Differential Equations

Differential Geometry

I don't know when the following will be offered, but they are in the course catalog:
Theory of Functions of a Complex Variable
Topology
Set Theory
Intermediate Analysis I
Numerical Analysis
Combinatorics

I have already taken Calculus i-iv (includes differential, integral, vector, and multivariable) and Differential Equations. I have intro physics i-iv (includes intro to modern) and circuits, and am taking EM I and Computational Mechanics this quarter.

Any advice on this somewhat unique situation is much appreciated.
 
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If you're interested in QM, linear algebra would be good to have a lot of. It's a useful subject in general.
 


if you want just math that's useful for physics take the pde, ode, lin alg sequences. and if you have time complex vars, numerical analysis.

if you want to know math take all of them. the only two don't personally interest me are combinatorics and probability and statistics but are still fun.
 


It goes without saying that PDEs IS physics. Linear algebra is also a must. These two subjects are absolutely fundamental for future study.

Complex analysis is a good subject, it will help you evaluate integrals and introduce you to a very analytic mathematics; it has some applications in physics. Topology isn't really useful for physics unless you get very theoretical. Set theory is almost as useless, its just a rigorous formulation of facts you already likely know (regarding numbers, functions, and... well, sets). Analysis is rigorous calculus; some of it is quite useful to the scientists. Numerical analysis is another one you should consider, as most problems in the real world will require numerical methods and not analytic ones. Combinatorics is fun as hell, though beyond maybe statistical mechanics I don't see it being used anywhere.
 

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