Which Math Electives Should a Sophomore Chemical Engineering Student Choose?

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A 19-year-old sophomore chemical engineering student seeks advice on math courses to take for a graduate degree in applied mathematics. Having completed introductory calculus courses, the student plans to take Transform Calculus and Numerical Solutions of ODE and PDE. They are considering additional courses, including Probability and Statistics, Linear Algebra, Real Analysis, Mathematical Methods, Theory of PDE, Functional Analysis, Systems Programming, and Advanced Numerical Techniques, but can only choose 5-6 over the next 5 semesters. Key recommendations emphasize the importance of Real Analysis and Linear Algebra for graduate programs, along with a solid foundation in Probability and Statistics to complement numerical methods. It is advised to avoid overloading on courses to ensure thorough understanding of the material.
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Hi, I'm a 19 year old sophomore chemical engineering student. I'm highly interested in applied mathematics and wish to pursue a graduate degree in it. I have taken my usual first year (engineering) calculus courses i.e single variable / multivariable calculus. This year I will be taking Transform Calculus and Numerical Solutions of ODE and PDE. I am aware that I will have to take more math courses to be eligible for graduate school and I intend to take them up as additional subjects. So, here's where I need help.These are the maths course my uni offers and I find interesting, which ones should I take:

1. Probability and Statistics

2.Linear Algebra

3.Real Analysis

4.Mathematical Methods

5.Theory of PDE

6.Functional Analysis

7.Systems Programming

8.Advanced Numerical Techniques

Of course I can take at most 5-6 of them in my remaining 5 semesters. So which ones should I pick ? I can provide detailed content and syllabus if necessary. Please feel free to suggest other subjects if you think I should take them and I'll see if my college offers them or not. Thanks in advance for your time!
 
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You can never have too much math. However, if you are looking for maybe a more prioritized list, I might say something like this:

I believe many graduate programs require Real Analysis and Linear Algebra--take those for sure. If you are looking to focus on applied math, it would be good for you to be very comfortable with numerical methods as well.
Depending on what applications interest you, there is a lot of demand for statistical skills, so a foundational understanding of Prob and Stats would be nice and also will complement some of the numerical methods and variational methods you might learn in graduate school.
The other classes, you should take if you have time--but make sure you don't overload on the math. You want to have time to learn the material well if you hope to use it again later.
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...

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