Can I do computer science without maths?

Yes you are eligible to pursue B.Sc in Computer Science without having mathematics in 12th. There is no any restriction in subject selection. Candidates are free to select any stream after having with any other stream. That is why no need to worry you will get admission easily.

Is computer science heavy in math?

Short answer: engineering and CS put stress on different fields of math. Introduction to calculus, linear algebra and combinatorics form a canon. However you can expect much less calculus than in engineering as it’s not that often applied in CS.

How is math used in computer programming?

Algebra is used in computer programming to develop algorithms and software for working with math functions. It is also involved in design programs for numerical programs. Statistics. Statistics is a field of math that deploys quantified models, representations, and synopses to conclude from data sets.

How is maths related to computer science?

Math matters for computer science because it teaches students how to use abstract language, work with algorithms, self-analyze their computational thinking, and accurately modeling real-world solutions.

What can I do with a math and computer science degree?

Job titles for graduates with math or computer science degrees:

• Actuary.
• Air Traffic Controller.
• Applications Programmer.
• Applied Science Technologist.
• Bank Credit Manager.
• Biometrician/Biostatistician.
• Compensation/Benefits Administrator.
• Computer Consultant.

Is there maths in computer science engineering?

The answer is – there are certain subjects of mathematics like calculus, probability, statistics, linear algebra, linear programming etc that are purely related with computer science and computer programming. So computer science engineering students are by default expected to be good at Math.

Why is maths important in computer science?

Math is an essential component of computer science which underpins computing and programming concepts. Without it, you would find it challenging to make sense of abstract language, algorithms, data structures or differential equations. All of which are necessary to fully appreciate how computers work.