Are you thinking what to study? Computer Science or Data Science?
Many elements of modern life are influenced by computer science and data science. Computer science and data science are both interesting, in-demand professional areas that need a basic understanding of technology, mathematics, and programming. We would recommend computer science if you enjoy building new things, but data science is for you if you enjoy analyzing, researching, and drawing conclusions based on data that is created in real time.
What is Computer Science?
Computer science is a branch of computer design, architecture, and applications in the field of science and technology, and it encompasses a number of technical ideas. It encompasses hardware, software, networking, and the internet, with a multitude of areas of study to explore.
What is Data science?
Data Science is the study of many types of data, such as structured, semi-structured, and unstructured information, in any form or format to extract information. Data Science encompasses a variety of technologies that are used to analyze data, such as data analysis, data archiving, data purging, data processing, and so on, in order to make it more efficient and orderly.
A comparison of course modules:
Data science is a subset of computer science, which contains a wide range of specializations. A comparison of typical courses in a master’s in computer science general curriculum and courses usually provided as part of a master’s in data science program can be found in the table below. It’s worth noting that some master’s in computer science courses may also be part of a master’s in computer science program, and that some master’s in data science courses may be offered as modules in a data science program.
Master’s in Computer Science |
Master’s in Data Science |
| Design & Analysis of Algorithms | Foundations of Algorithms |
| Software Engineering | Statistical Methods & Probability Modeling |
| Database System Design | Principles of Database Systems |
| Computer Architecture | Data Warehousing for Data Science |
| Information Security & Cryptology | Optimizing-Based Data Analysis |
| Machine Learning | Machine Learning & Artificial Intelligence |
| Compiler Design & Construction | Natural Language Processing |
| Operating Systems Design | Deep Learning |
| Java & Python Programming | Big Data Processing Using Hadoop |
| Computer Networking | Information Visualization |
Career
Career Options for Computer Science graduates:
- Computer and Information Research Scientist
- Software Developer
- Computer Systems Analyst
- Database Administrator
- Web Developer
- Computer Scientist
Career Options for Data Science graduates:
- Statistician
- Business Intelligence (BI) Analyst
- Big Data Engineer
- Data Architect
- Database Administrator
- Machine Learning Engineer
- Data Scientist
