Should I take more theoretical courses or applied courses?

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Discussion Overview

The discussion revolves around the decision-making process for a math major regarding the selection of theoretical versus applied courses in preparation for a master's degree in statistics. Participants explore the implications of course choices on future academic and professional paths, considering the relevance of various mathematical concepts.

Discussion Character

  • Debate/contested
  • Homework-related
  • Technical explanation

Main Points Raised

  • One participant suggests that theoretical courses may provide a stronger foundation for understanding concepts, which could be beneficial in the long run.
  • Another participant argues that applied courses might be more useful for a career in statistics, questioning the relevance of theoretical courses like differential geometry.
  • A list of potential courses is provided, including various algebra and analysis options, with some participants expressing doubts about the usefulness of combinatorics for statistics.
  • There is a discussion about the importance of measure theory for probability and statistics, with suggestions to take an honors analysis course that covers Lebesgue measure and integration.
  • Concerns are raised about the difficulty of honors analysis, with advice to consider readiness before enrolling in such challenging courses.

Areas of Agreement / Disagreement

Participants express differing opinions on the value of theoretical versus applied courses, with no consensus reached on which approach is definitively better for the participant's goals.

Contextual Notes

Some participants note the absence of specific measure theory courses in the catalog, highlighting a potential limitation in course availability. The discussion also reflects varying levels of familiarity with course content and difficulty.

squelchy451
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Hi. I am a math major that got started late. I started taking prerequisites during my sophomore year (which I'm finishing this year). I'll be taking some courses in algebra and analysis next year. There are some courses that can fulfill my major requirements, but some are theoretical and some are more focused on applications in other fields.

I think I'll be doing a master's in statistics, but probably not a PhD.
Should I take more courses that are theoretical and can prepare me better for my master's degree or take courses that are more applied and would be more applicable to the workplace?

I've done some searches and it seems like it'd be better to take more theoretical courses, as the usage of concepts can be learned more easily than taking the applied concepts and trying to figure out the concepts behind it. The courses that are more 'applied' will probably have its own share of concepts and 'pure' math, but taking more theoretical courses might be more beneficial in the long run.
 
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Since you'll be doing statistics, I think applied courses might help you more. For example, it's no use taking a theoretical course like differential geometry as you will not need it.

Can you give me a list of possible courses perhaps to see your possibilities??
 
Two courses in Algebra (Linear algebra, intro to algebra, computational algebra, number theory, matrix group, applicable algebra)

Two courses in analysis (analysis, manifolds and differential forms, intro to diff eq, applied complex analysis, Waves and Fourier series, Intro to partial diff eq, Numerical analysis and diff eq, Diff eq and dyanmical systems)

There's two courses outside the math dept and will probably be fall under the 'applied math' category. I'll probably be taking applied regression models, engineering stochastic processes, and statistical data mining.

I need to select another course in the math dept in addition to the four courses mentioned above.
Would combinatorics be useful? I don't think number theory and topology won't be useful if I don't plan on a lot of academia or a pure math master's degree.
 
I don't think combinatorics would be very useful if you plan on doing statistics.
Don't you have some measure theory courses??
 
Searching the course catalog doesn't really show any courses that focus on measure theory. Honors analysis syllabus shows that it covers Lebesgue measure and integration.

I'm just starting out, so I don't know too much about the courses. What kind of courses would focus on measure theory?
 
squelchy451 said:
Searching the course catalog doesn't really show any courses that focus on measure theory. Honors analysis syllabus shows that it covers Lebesgue measure and integration.

I'm just starting out, so I don't know too much about the courses. What kind of courses would focus on measure theory?

Yeah, take the honors analysis course then. Measures are really important for probability and statistics. (not in applications though).

It might also be covered in a rigorous probability course.
 
Honors analysis is known to be one of the hardest math courses...people that I've talked to advised me not to take it unless I'm really up for it. I'll be taking a 400 level stats course next semester..maybe it'll come up there.
 

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