I graduated with a degree in applied mathematics in 2018, but I found myself working in tech starting in 2021, first in Automated QA and then in Workday Implementations Consulting, which I didn't enjoy much. Throughout my career, I've often been the only person in my department without a formal computer science education, and I suspect that knowledge gaps contributed to my recent job loss. I have a decent tech stack from self-learning and I'm considering going back for a master's to fill these gaps. I'm curious about which areas of computer science heavily rely on mathematics, as I want to explore where my skills might fit best.
5 Answers
Computer vision often involves intricate mathematical problems—I've had my fair share of graph theory challenges recently! So if you're into that, there might be a fit.
Game development can vary a lot. Some roles require deep mathematical knowledge, particularly in physics and simulations, while others might not demand much math at all. Machine learning also plays a huge role in modern game development!
It really depends on the type of math you enjoy. Both math and computer science are broad, so it's hard to be proficient in every aspect. Fixating on specific areas like machine learning and cryptography can help you leverage your math skills effectively.
Fields like scientific computing and engineering definitely make heavy use of mathematics. Anything related to machine learning or AI also demands a solid math background, particularly in linear algebra.
If you're looking for math intensity, writing mathematical software can be quite challenging, especially with symbolic computations. Also, many aspects of high-performance computing involve complex calculations, so scientific simulations might be a great fit.
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