| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
Choosing an MS in Computer Science at Korea Advanced Institute of Science & Technology, South Korea, offers a unique blend of cutting-edge research and global exposure. The program emphasizes advanced computing, AI, and data science, supported by experienced faculty and modern labs. Students benefit from a collaborative, multicultural environment and opportunities for industry partnerships and internships. Jeju’s strategic location provides a serene yet innovative learning atmosphere. With strong support for research publications and international conferences, graduates gain competitive skills for global tech careers. The university’s commitment to innovation, combined with South Korea’s tech-driven ecosystem, makes it an ideal choice for aspiring computer scientists.
Category |
Details |
|---|---|
|
Program Name |
MS in Computer Science |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (Full-time) |
|
Language of Instruction |
English/Korean (depending on courses) |
|
Yearly Tuition Fees |
Approx. 4,500,000 KRW (~$3,500 USD) |
|
Total Tuition Fees |
Approx. 9,000,000 KRW (~$7,000 USD) |
|
Total Program Cost |
Approx. 12,000,000–15,000,000 KRW (~$9,500–$12,000 USD, including living expenses) |
|
Eligibility |
Bachelor’s degree in Computer Science, IT, or related field |
|
Admission Requirements |
Transcript, CV, Statement of Purpose, Letters of Recommendation, English proficiency (TOEFL/IELTS) if applicable, Korean language proficiency for Korean-taught courses |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
University scholarships covering partial tuition; some full scholarships based on academic merit |
|
Career Prospects |
Software Engineer, Data Scientist, AI Researcher, IT Consultant, Academic Research, Entrepreneurship |
|
Curriculum Structure |
Core courses (Advanced Algorithms, AI, Machine Learning, Data Mining), Electives (Cybersecurity, Cloud Computing, IoT), Research Thesis/Project, Seminars |
