Thứ Hai, 13-01-2025 12:01 GMT +7

The Computer Science field is suitable for those who are passionate about in-depth research in IT, the computational capabilities of computer systems, artificial intelligence, machine learning, graphics, and computer vision, aligning well with the human resource needs for the Fourth Industrial Revolution.

Computer Science is the study of tools and algorithms that help process information and solve problems, encompassing areas such as design, construction, computer programming, machine learning, artificial intelligence, and data science. Computer Science is also related to technologies such as the internet and communication.

To become a computer scientist, one needs to have in-depth knowledge of computer science and use that understanding to process information and apply calculations. Typically, computer scientists focus on theoretical aspects of computing, unlike computer engineers who deal with hardware operations.

The Computer Science curriculum will equip students with important knowledge in the field, such as advanced programming, artificial intelligence, computer graphics, image processing, machine learning, natural language processing, bioinformatics, robotics, speech processing, machine vision, semantic web, algorithm analysis and design, mobile applications, graph algorithms and applications, and modern issues in computer science.

Career Opportunities After Graduation

Computer Science is a challenging field, often leaning heavily towards theory and academia. To study Computer Science, one needs logical thinking and a great imagination, similar to excelling in mathematics.

A computer engineer's job often requires more than 8 hours a day, working closely with computers, and the ability to handle pressure while being patient and meticulous in their work.

Computer scientists typically solve problems using technology. They write and program software, create applications for mobile devices, and develop websites.

The main goal in their work is to validate and develop mathematical models, enabling interaction between humans and computers. They achieve this by running computer programs and improving performance and computing processes.