Courses Should I take more theoretical courses or applied courses?

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A math major, currently finishing sophomore prerequisites, is contemplating course selections for upcoming algebra and analysis classes while considering a master's in statistics. The discussion centers on whether to prioritize theoretical courses, which may provide a stronger foundational understanding, or applied courses that are directly relevant to the workplace. Opinions suggest that while theoretical courses can enhance conceptual understanding, applied courses may be more beneficial for a career in statistics. Specific courses mentioned include linear algebra, various analysis topics, and applied regression models. The importance of measure theory is highlighted, particularly for its relevance in probability and statistics, with recommendations to take an honors analysis course that covers Lebesgue measure and integration. Concerns about the difficulty of honors analysis are noted, along with the potential for measure theory to be addressed in advanced statistics courses. Overall, the focus is on balancing theoretical knowledge with practical application in course selection to best prepare for a master's program and future career.
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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