• # Rating - 5 Points
  • # Accomodation #
  • # Scholarship #
  • # Part Time Work #

B.Tech in Computer Science

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

Why Choose B.Tech in Computer Science at Seoul National University, South Korea

Choosing a B.Tech in Computer Science at Seoul National University (SNU) offers exceptional opportunities for academic and professional growth. SNU is renowned for its cutting-edge research, state-of-the-art facilities, and strong connections with the tech industry. The program provides a solid foundation in computer science, while encouraging innovation and critical thinking. Studying in South Korea, a global tech hub, offers access to leading companies and startup ecosystems. Additionally, SNU’s diverse international community and faculty expertise make it an ideal environment for students seeking a top-tier education and career prospects in the ever-evolving field of technology.


B.Tech in Computer Science at Seoul National University, South Korea, Program Details
 

Category

Details

Program Name

B.Tech in Computer Science

Degree Awarded

Bachelor of Technology (B.Tech) in Computer Science

Course Duration

4 Years

Language of Instruction

English and Korean (depending on the course)

Yearly Tuition Fees

Approx. KRW 4,000,000 - KRW 6,000,000 (subject to change)

Total Tuition Fees

Approx. KRW 16,000,000 - KRW 24,000,000 (for 4 years)

Total Program Cost

Includes tuition fees, living expenses, and other costs (approx. KRW 40,000,000)

Eligibility

High school diploma or equivalent; Strong academic background in math and science

Admission Requirements

Academic transcripts, standardized test scores (e.g., SAT, ACT), English proficiency (TOEFL/IELTS), recommendation letters, personal statement

Application Intake

Spring (March) and Fall (September) intakes

Scholarship

Various merit-based and need-based scholarships available

Career Prospects

Software Engineer, Data Scientist, Systems Analyst, AI Specialist, Researcher, Tech Entrepreneur

Curriculum Structure

Core courses in algorithms, programming, data structures, computer architecture, AI, machine learning, and electives in specialized fields