Programs Is a CS Minor Valuable for a Math Major Not Entering the Tech Industry?

  • Thread starter Thread starter stgermaine
  • Start date Start date
  • Tags Tags
    Cs Minor
AI Thread Summary
Choosing between a concentration in computer science (CS) or statistics is a significant decision for math majors, especially considering the applicability of each field across various industries. While upper-level CS courses focus on advanced topics like machine learning, algorithms, and cryptography, the relevance of these skills may vary depending on career goals. Statistics is perceived as more broadly applicable, but a CS minor can still be beneficial, particularly for those working with large datasets. Key courses in databases, data mining, and numerical analysis are recommended for anyone interested in data-centric careers. Additionally, machine learning and algorithms are valuable areas of study that can enhance a graduate's skill set, even for those not entering the tech industry. Balancing course prerequisites and graduation timelines is also a practical consideration in making this decision.
stgermaine
Messages
45
Reaction score
0
Hi. I'm currently a math major and I need to choose a concentration (CS or stats).
I've already taken MATLAB and currently taking C++. I've noticed that upper-level courses are not about programming but are about machine learning, algorithms, cryptography, etc.

I think I am capable at programming, but would taking upper level CS courses help me if I don't go into the computer industry? It seems like stats is more applicable across more industries than CS.

However, right now my courses got mixed up and I might not be able to take this course that's the prerequisite for all my stats courses, so I might have to choose a different concentration in order to graduate on time.

Anyway, would a CS minor be useful if I don't exactly plan on going into engineering/cs?
 
Physics news on Phys.org
It depends. I'm actually a Stat person who focused a lot on computer science. There are some classes that I would advise anyone who is going to work with large number of data to take that tend to fall under computer science. Anything regarding databases and data mining. Anything related to numerical analysis. Having these skills in your toolbox I think you would fine to be rather useful if you plan to play with large data for a career.

If you're on the more abstract side and want to do a cs minor to fulfill a graduation requirement. Machine learning and algorithms I think would be generally beneficial too. In fact, you may even find that if you end up studying machine language that the amount of functional analysis can make it a rather interesting topic!
 
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...

Similar threads

Replies
8
Views
2K
Replies
4
Views
2K
Replies
3
Views
2K
Replies
6
Views
5K
Replies
3
Views
1K
Replies
32
Views
2K
Replies
10
Views
2K
Back
Top