I’m working my way to a CS degree and am currently slogging my way through an 8-week Trig course. I barely passed College Algebra and have another Algebra and two Calculus classes ahead of me.
How much of this will I need in a programming job? And, more importantly, if I suck at Math, should I just find another career path?
The most advanced math a typical developer needs is Fibonacci, and if you can’t remember it someone will show you a cheat sheet.
The field is incredibly broad. Choose a field or employer or project that’s not doing that an you’re fine.
Being comfortable with algebra is kinda essential, however you probably won’t make much use of calculus unless you go into certain parts of the industry such as game development.
Practice makes perfect though, you may suck at maths today, but there’s nothing stopping you from getting better at it if you work at it
Math, despite being a great skill to have, is not mandatory for a large volume of programming roles. It may hurt you in some interviews but interviews are a fucking crap shoot / shit metric either way. Computers do most of the math, so you don’t have to!
Source: I’m dyslexic, suffered from dyscalculia and migraines until I was allowed to use a calculator, and barely passed high school math. No degree. No bootcamp. 8 years as a dev.
I’ve also excelled in multiple roles where colleagues were math or CS PHD’s, and become the senior or go-to on more projects than not. The key part is to know your strengths. I’m never gonna accept a role developing accounting software, or anything that would require me to code complex math on a regular basis. You’d be surprised how far you can get with Google.
I tried to go to University for CS but never quite got the hang of the math part. Instead I got a Certification in Computer Science from an apprenticeship (idk if that’s the right Translation, in German we call it “Fachinformatiker für Anwendungsentwicklung”) within 1.5 years and with extreme ease, because it was way less math-heavy and more focused on actual programming.
I stayed with the company that I did the apprenticeship with and got promoted from Junior to Regular within a year. I work exactly in the field and position I wanted to work in when I was going for the CS degree. In fact, I have the exact same responsibilities and the same pay as my colleagues with CS degrees. It might not be like that in every company, but it did work out for me.
Just for fun, I actually went back to Uni this semester to try and actually finish one or two math modules, but dropped out within 2 weeks because I was hopelessly incapable of even understanding the basic concepts lol
More than math courses - logic courses in general helped me rethink and structure things in a variety of ways in how to approach problems. If nothing else it improves your “if-then-else”-fu to understand when you are not(not(not something))). My math degree required logic courses though at the same time so it made sense. For higher level math logic plays a heavy role and so leveraging that aspect helps in a lot of ways.
Anywhere from very important to not important at all, depending on your specific job.
There is some good news though, you’ve been lied to about sucking at math. Whether by yourself or other people I do not know, but the education research I have seen has been pretty clear that the main difference between people of normal intelligence who are ‘good at math’ and those ‘bad at math’ is how long they’re willing to work on a problem to ensure the correct answer before moving on.
I know ‘try harder’ sucks as an answer but it’s the best one I know of and at least in this case will actually make a difference.
Agreed. Math, for the most part, is very rule oriented and problems only have one answer and often one strategy to get to the answer. If you work on many different problems (in the same subject) you should start to get used to the rules.
Overall I would say a strong math foundation is important to CS but CS isn’t just about coding. You can absolutely get a coding job without strong math skills or even without a degree, it’s just a bit harder to get started. If the discipline still exists you might consider a Business Information Systems degree (we used to call it CS lite). Depending on the position a company might equally consider BIS and CS majors.
i would disagree that math problems only have one strategy for getting to the answer. there are many things, particularly in more abstract math, which can be understood in multiple different ways. the first example that comes to mind is the fundamental theorem of algebra. you can prove it using complex analysis, algebraic topology, or abstract algebra. all the proofs are quite different and rely on deep results from different fields of math.
i think the same thing holds in the less abstract areas of math, it’s just that people are often only taught one strategy for solving a problem and so they believe that’s all there is.
problems only have one answer and often one strategy to get to the answer
Totally disagree
You’re thinking of equations, which only have one answer. There are often many possible ways to solve and tackle problems.
If you’ll permit an analogy, even though there’s “only one way” to use a hammer and nail, the overall problem of joining wood can be solved in a vatiety of ways.
You’re absolutely right. I was referring to equations which, in my experience, is 90% of undergrad math.
Do you have a link to the research? I’m a math educator and I’d like some good materials for encouraging my students.
You’ll encounter math eventually. It could be as simple as implementing linear interpolation for a custom type, or understanding why a type is not suited for a particular application (e.g. never use floating points to represent money). If you delve into low-level networking, you’ll need a good understanding of binary/decimal/hexadecimal conversions and operations. If you go into game development or graphics, you won’t survive without a deep understanding of vectors, matrices, and quaternions. Any kind of data science is just math translated to a machine-readable language.
In my opinion, knowledge of the basic concepts is more important than being good at actually performing mathematics with pen and paper. For example, if you need to apply a transformation to a vector, nobody expects you to whip up a program that does the thing. Instead, you should immediately know:
- what a transformation is (translation, rotation, scaling, projection, etc),
- that each transformation has a corresponding transformation matrix,
- that you’ll have to deal with inhomogeneous and homogeneous coordinates, and
- that you’ll have to combine the transformation matrices and the original vector.
That abstract knowledge will give you a starting point. Then you can look up the particulars – the corresponding transformation matrices, the method to convert between inhomogeneous and homogeneous coordinates, and the process of matrix multiplication. I know because I failed calculus.
I don’t think you necessarily need to have studied a lot of math to be successful in programming, but you will need it if you want to get a CS degree, which in turn can be a good lever to a fruitful programming career.
My advice when it comes to math - math skills build upon the concepts you’re expected to have learned before, meaning that if you didn’t fully get everything in the past, then your foundation is not in great shape and you will struggle at higher levels. Going back and repeating the fundamentals just so that you fully understand everything is very helpful in my experience.
I also think that understanding math is rewarding in itself, for what it’s worth!
As a kid, I learned to write i = i +1, before school maths taught me it can’t. The point is, computers do iteration well, especially to model dynamics of real non-linear systems, while classical maths is good at finding algebraic solutions to equilibria - typically more theoretical than real. Calculus is great for understanding repeatable dynamics - such as waves in physics, also integrating over some distributions. But even without knowing that well you could still approximate stuff numerically with simple loops, test it, and if an inner-loop turns out to be time-critical or accuracy-critical (most are not), ask a mathematical colleague to rethink it - believe in iteration rather than perfect solutions.
90% of programming I have seen after a decade plus of doing it full time is minor changes being made to code that was already made by someone. Likely not documented. Likely already changed in a dozen little ways. Math isn’t the problem. Understanding what the guy who wrote it is often the problem.
Oh and you can’t ask them because they likely don’t work here anymore.
Being a programmer is more like being a detective than anything else unless you work for a small company.
As others have said, It depends on what kind of programming you do. Some areas requite a lot. Others not so much. It’s logic, not math, that is needed the most.
You may want to check if your college has a different kind of programming degree. As I understand things, there are basically two kinds of programming degrees. “Computer Science” has much steeper math requirements and focuses on applications that deal with Science or engineering issues. “MIS (Management Information Systems)” degrees focus on actual programming that businesses need, not programs that are science or engineering focused.
Totally depends what you end up working on as a programmer. If it’s web apps, you’ll be totally fine. All you need is basic arithmetic. Writing a game engine? You’ll need to know some basic to moderate matrix maths…
If you’re doing formal verification using unbounded model checking… good fucking luck.
On average I would say most programming tasks need very little maths. If you can add and multiply you’ll be fine. Definitely sounds like you’ll be ok.
There’s a lot of programming you can do with zero or very basic math skills. But some stuff can require a lot. But I’m quite sure you could manage a career very nicely without ever touching those areas. People who do that are probably seeking those things out.
It really depends on the role you are looking for. If working with data and doing analysis, you need some knowledge in stats and probability. If you are working on simulations, you will need basic calculus and algebra. If you are looking at game development, you will need basic trigonometry and vector arithmetic. The one thing you don’t need is mental arithmetic because you have a computer.
That being said, you can get by without these skills, it just becomes harder to see what you need to do, even if you would know how to implement it. This is alleviated if you are working in a team however.
