There is a very common saying that mathematics is almost involved in every aspect of our daily life. Now our daily life mostly includes activities supported by machines like computers and mobile phones. Hence it is pretty evident that mathematics has to be a part of these which run our daily life smoothly. This article upholds the importance of mathematics in computer science.

Now what we need to find out is what exactly is the importance of mathematics in computer science. This has always been a topic of argument as some people believe the opposite. But the majority still believes this to be true.

## Importance of Mathematics in Computer Science

In fact, the importance of mathematics in computer science is more and more evident with the advent of life-changing technologies like Machine learning and AI. Following are some points that illustrate the importance of mathematics in computer science.

### 1. The Foundation of Computer Science

The basics of mostly what is used in computer science, be it the hardware or the software part, are derived from mathematical concepts. Say, for example, probability, number theory, logic notations, etc. are very commonly used in different branches of computer science.

These things that computer science use are collectively called Discrete Mathematics. Another example would be the use of Boolean Algebra in Logic gates and perhaps Relational Algebra in RDBMS.

Moreover, Statistics has a very important part to play nowadays, as Machine Learning is en route to conquering the entire industry. Statistics is one of the most revered parts of mathematics since its inception. So the importance of Mathematics in Computer Science** **is pretty much from the foundation itself.

### 2. Algorithms Used in Computer Science

Basically, all the people who belong to the Computer Science stream, professionally or academically, are aware of the term Algorithm. Algorithms are nothing but a procedure broken down into a step-by-step version.

Now beginners use algorithms while learning GW-Basic. And professionals who develop enterprise systems for their respective clientele make use of algorithms.

But the question is, how is mathematics important in this. As a matter of fact, the very first algorithm that anyone ever learns is during childhood while learning the basic mathematical operations like addition and subtraction.

That “2 + 2 = 4” is perhaps the first and basic algorithm everyone has learned. This process of getting four after adding 2 to 2 has been broken into steps. Hence algorithm, which is an important part of computer science, is also based on such basic methods of mathematical calculations.

### 3. Analytical Skills Required in Computer Science

The people who are related to computer science in one way or the other are very well aware of the fact that one has to have proper analytical skills to exist in this field. The basics of every complex program or methods lie in the analysis made by the group involved to do so.

Analyzing every factor before developing any programs or applications is the most important part of any software development life cycle. Now, where do we develop our tendency to analyze anything that seems to be complex to us?

It is obvious from the method of simplification of equations that we have developed this habit. Once we realize an equation, we analyze the steps to break it down into an easier solvable form. We exactly do this to analyze the different steps for developing anything in computer science.

### 4. Concepts of Mathematics Involved in Computer Science

Well, as we all know, computer science is a collection of many subjects or rather technologies together. This includes Operating systems, Databases, Networking, AI, Data Analytics, and many more.

Each and every single branch involves a different branch of mathematics. For example, Data Analytics requires a good prior knowledge of statistics, Linear algebra, Multivariable Calculus, Probability Theory, and analytical skills as well. Like this, there are a lot of branches that require a thorough knowledge of mathematical concepts.

Until and unless people are pretty fluent in the discussed mathematical concepts, they may not be able to deal with complex computing scenarios.

### 5. An Application of Computer Science

It is not always that importance of Mathematics in Computer Science is only about how it came into existence. But there is also another important aspect of this discussion which includes the application of Computer Science into Mathematical areas.

One such biggest example is tutorial apps. Programmers developed it based on the mathematical concepts discussed above. But they teach people about mathematics itself.

There are platforms where people get to know and perform in different branches of mathematics like graph plotting, calculus, geometry, statistics, and others. These platforms where users can perform such activities are solely developed using core mathematical concepts.

## Conclusion

All the above things that we have discussed can actually describe the importance of Mathematics in Computer Science and its influence. But of course, still, many people would say that writing a blog or creating a simple HTML webpage doesn’t require prior mathematical knowledge.

But with the development of recent technologies, it will rather be a good option to get handy with mathematics in order to perform well in any computer science-related area.