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B.Sc in Computer Science

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th

Why Choose B.Sc in Computer Science at Korea Advanced Institute of Science & Technology, South Korea

Choosing a B.Sc. in Computer Science at Korea Advanced Institute of Science & Technology (KAIST) offers unparalleled academic excellence and cutting-edge research opportunities. KAIST is renowned for its world-class faculty, state-of-the-art facilities, and strong industry connections, providing students with a comprehensive education in both theoretical and practical aspects of computer science. The program fosters innovation and creativity, with a focus on emerging technologies like AI, machine learning, and data science. Studying at KAIST also opens doors to global career prospects, with its strong reputation and extensive network in both academia and industry.


B.Sc in Computer Science at Korea Advanced Institute of Science & Technology, South Korea, Program Details
 

Category

Details

Program Name

B.Sc. in Computer Science

Degree Awarded

Bachelor of Science (B.Sc.) in Computer Science

Course Duration

4 years

Language of Instruction

English (and Korean in some courses)

Yearly Tuition Fees

Approximately USD 10,000 - 20,000

Total Tuition Fees

Approximately USD 40,000 - 80,000

Total Program Cost

Includes tuition, living expenses, and other fees (~USD 50,000 - 90,000)

Eligibility

High school diploma or equivalent, strong foundation in mathematics and science

Admission Requirements

Academic transcripts, proof of English proficiency (TOEFL/IELTS), SAT/ACT scores (optional), recommendation letters, personal statement

Application Intake

Spring (March) and Fall (September)

Scholarship

Merit-based scholarships available for international students

Career Prospects

High demand for graduates in AI, software development, data science, cybersecurity, and tech entrepreneurship

Curriculum Structure

Core courses in algorithms, data structures, software engineering, AI, machine learning, databases, with electives in specialized fields like robotics, cybersecurity, and more