Advice on choosing major: Math vs. Engineering

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Discussion Overview

The discussion revolves around the decision-making process regarding choosing a major between mathematics and engineering, specifically biological engineering. Participants explore the implications of their academic choices on future graduate studies and career paths, particularly in fields that involve mathematical modeling in biological systems.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant expresses uncertainty about their commitment to biological engineering and is considering a major in mathematics to maintain flexibility in their academic and career options.
  • Another participant suggests that a major in mathematics with minors in biology and computational neuroscience could align well with the original poster's interests.
  • Some participants emphasize the importance of practical skills in programming and applied mathematics over theoretical mathematics, arguing that many theoretical math courses may not be relevant to the participant's interests.
  • There are discussions about the relevance of specific mathematical topics, such as differential equations and numerical methods, in computational biology and ecological modeling.
  • One participant shares their personal approach to learning mathematics and programming, indicating that hands-on experience may help clarify their interests.
  • Concerns are raised about the potential lack of relevant programming skills if the participant remains in biological engineering, suggesting that additional self-study may be necessary.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether to switch majors. Some advocate for sticking with biological engineering due to its relevance to the participant's interests, while others argue for a mathematics major to avoid theoretical courses that may not be useful.

Contextual Notes

Participants mention the importance of specific course offerings and the potential need for self-directed learning in programming and applied mathematics. There is also a recognition that different academic paths may lead to varying opportunities in graduate programs.

Who May Find This Useful

Students considering a major in mathematics or engineering, particularly those interested in interdisciplinary fields involving biology and computational modeling.

jbrussell93
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I have posted a couple of times on this forum requesting advice and have found it quite helpful, so here I am again. Right now I am a biological engineering major with minors in math and computational neuroscience, but I am beginning to question my decision of major. Basically, I don't like the idea of being so committed to one field (biological engineering) at this point in my life, although it is a pretty broad field I guess. There are aspects of biological engineering that are interesting to me, I have always been fascinated by biology, but mainly I am more interested in the aspects that involve the most mathematics - Optics and anything involving "computational" in the name. I'm not as interested in the tissue/cellular engineering because it involves too much chemistry and not enough math. I am somewhat interested in neuroengineering just because it involves the brain which fascinates me and seems like it would involve quite a bit of math and programming.

Basically to sum things up - I'm interested in mathematical modeling whether it is in neuroscience, geology, biology, ecology, etc... Anything relating to a biological system (not financial, economical modeling)

So my question is: Would it be smart for me to major in math instead of engineering? The advantage I see to majoring in math is that I can form a great computational/analytical background while not committing fully to a specific field. Am I correct in assuming that math would be flexible enough to allow me to go to graduate school for any of my listed interests with regards to modeling? The other issue I am having is that my school does not offer an "applied" math degree although I believe I could choose electives to mold it into one... Is this an issue as far as which graduate programs I can apply to - I'm not planning on applying to a math program? Also, would I be able to do modeling with a physics degree or is math a better choice (dual?)?

Thanks to all who can help!
 
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I can't remember on which department's website it was, but it was in something biomath related. They mentioned that a minor in biology, along with the major in mathematics would be good. In any case, you seem to have made your decision a while back: you like the mathematical aspects of biology. Math with minors in computational neuroscience and biology looks like a sound idea to me.

Actually, why don't you just go through the pages of grad schools who have departments where research is being conducted in those areas you're interested in and see what they suggest? NYU has a program in Computational Biology. As does UCLA (Biostats, I think).
 
Thanks, I'll look around at grad programs and see what they say. I guess I just haven't found my niche in research yet. I like the idea of computational biology and being able to describe biology mathematically but I don't know if I would actually enjoy (or be good at) doing it.
 
jbrussell93 said:
Thanks, I'll look around at grad programs and see what they say. I guess I just haven't found my niche in research yet. I like the idea of computational biology and being able to describe biology mathematically but I don't know if I would actually enjoy (or be good at) doing it.

I'm in a similar position to you. Here's what I'm doing:

- I'm learning math like a math major would (Calculus from Spivak and then Sternberg and Loomis; Algebra by Artin; that's for a start and should keep me busy till next year)
- I'm learning how to code

As I get more comfortable with programming, I'll see if there's anything I can do to get my feet wet. That's the only way to know. Just do it.
 
Mépris said:
I'm in a similar position to you. Here's what I'm doing:

- I'm learning math like a math major would (Calculus from Spivak and then Sternberg and Loomis; Algebra by Artin; that's for a start and should keep me busy till next year)
- I'm learning how to code

As I get more comfortable with programming, I'll see if there's anything I can do to get my feet wet. That's the only way to know. Just do it.

Interesting you say that... I've actually decided to hold off on physics II next semester in order to take a time conflicting MATLAB class to see how I like programming. I'm also planning on trying to learn a bit on my own.

After checking a few computational biology graduate departments' prerequisites it seems as though my math minor will give me just enough math to get started for most so I may just stay with engineering for now. Also, since I'm biological engineering I will have the biology requirements as well. The only thing I may be lacking on is skills in programming which I may have to work on outside of classes.
 
i think you should stick with your current major because there's so much of math that's just totally useless for your interests... and most people's interests out of pure theoretical math.

the difference is that while BioE "useless" classes are just merely "useless" (actually, useful, it's there for you to open your mind), there's some *required* theoretical math classes that are useless (literally useless) and HARD. Just take classes in the applied math and computer science you need to do your work.

take for example, analysis or number theory. how does doing proofs on prime numbers help you model an ecosystem? i did a project on ecological modeling, it was just differential equations. most of computational biology is, from what I've seen: numerical differential equations (ODE and PDE) and statistics.

if your school offers something like "mathematical methods in sciences and engineering" or "numerical methods in science and engineering" that's going to teach you most of the math you need, the rest is programming and reading extra books. the important part in ecosystem modeling isn't the math itself I think, it is interpreting the results. The math tools have already been invented (like RK4), pick the one you think is good from your understanding of math, and apply them. No need to reinvent the wheel.
 
Last edited:
chill_factor said:
i think you should stick with your current major because there's so much of math that's just totally useless for your interests... and most people's interests out of pure theoretical math.

the difference is that while BioE "useless" classes are just merely "useless" (actually, useful, it's there for you to open your mind), there's some *required* theoretical math classes that are useless (literally useless) and HARD. Just take classes in the applied math and computer science you need to do your work.

take for example, analysis or number theory. how does doing proofs on prime numbers help you model an ecosystem? i did a project on ecological modeling, it was just differential equations. most of computational biology is, from what I've seen: numerical differential equations (ODE and PDE) and statistics.

if your school offers something like "mathematical methods in sciences and engineering" or "numerical methods in science and engineering" that's going to teach you most of the math you need, the rest is programming and reading extra books. the important part in ecosystem modeling isn't the math itself I think, it is interpreting the results. The math tools have already been invented (like RK4), pick the one you think is good from your understanding of math, and apply them. No need to reinvent the wheel.

This was extremely helpful for me. I'm curious though, what was your undergraduate degree in? Also, this is probably a silly question but do you get to do any "field work" in ecological modeling? If not, then where do you get your data from - other scientists?
 

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