Difference between Computer Science and Data Science

The key difference between computer science and data science is, computer science is the study of the design, architecture, and maintenance of computer systems, software, and its applications.

While data science is the study of data that deals with a large amount of data by using different data visualization techniques.

Computer Science and Data Science are related but distinct fields. In this article, we will discuss the main differences between data science and computer science which will be helpful for you to find the difference between both of them.

What is computer science?

Computer science is the study that deals with the design, development, and maintenance of computer systems, software, and applications. It involves the principles of programming languages, algorithms, software engineering, computer architecture, operating systems, databases, computer networks, and artificial intelligence.

Computer scientists use many technologies to solve complex problems and prepare for the future. They also write programs that create different applications. Their main focus is validating models of human-computer interaction with people or machines to develop efficiencies where needed.

What is Data science?

Data science is the study that involves the use of statistical and computational techniques to extract insights and knowledge from data. It combines computer science, statistics, mathematics, and domain expertise to analyze large and complex data sets and inform decision-making.

Data Science requires a strong knowledge of computer science, mathematics, and statistics, as well as the ability to work with large and complex data sets. The data scientist has strong communication skills to communicate with stockholders for better understanding.

Computer science vs Data Science

The main differences between computer science and data science are given below:

Computer science	Data Science
Architecture and design are studied in computer science.	In data science, data is manipulated and analyzed.
Speed and Performance	Reduction in Data Redundancy
Computer science is less valuable than data science.	Data science is more valuable than computer science.
It exists for many years.	It is a recently developed branch of technology.
We earn less in computer science as compared to data science.	We can earn more in data science as compared to computer science.
It is used in: Computers Networks Software engineering Security Databases Programming languages Informatics Algorithm designing Bioinformatics	It is used in: Big data analytics User-behavior analysis Data Engineering Fraud detection Recommendation Machine learning Customer analytics Operational analytics Predictive analytics, etc.
Computer science is used for Game development Web development database management IT consultant, etc.	Data science is used for Data modeling Data analysis Data architecture, etc.