| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Choosing M.Tech in Computer Science at Seoul National University (SNU) offers an exceptional blend of cutting-edge research, academic excellence, and global exposure. SNU is one of Asia's top-ranked institutions, renowned for its advanced infrastructure, world-class faculty, and strong industry connections. The program offers a diverse range of specializations, including AI, machine learning, data science, and cybersecurity. Additionally, South Korea’s booming tech industry provides numerous opportunities for internships and collaboration with leading companies. The vibrant student life, coupled with SNU’s strategic location in Seoul, ensures an enriching educational and cultural experience.
Category |
Details |
|---|---|
|
Program Name |
M.Tech in Computer Science |
|
Degree Awarded |
Master of Technology (M.Tech) in Computer Science |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English (for international students) |
|
Yearly Tuition Fees |
Approx. USD 8,000 - 10,000 (Varies based on residency and program specifics) |
|
Total Tuition Fees |
Approx. USD 16,000 - 20,000 (for 2 years) |
|
Total Program Cost |
Includes tuition, living, and other expenses – Approx. USD 30,000 - 35,000 |
|
Eligibility |
Bachelor's degree in Computer Science or related fields. Minimum GPA of 3.0/4.0 |
|
Admission Requirements |
Transcripts, recommendation letters, statement of purpose, proof of English proficiency (TOEFL/IELTS) |
|
Application Intake |
Spring (March) or Fall (September) |
|
Scholarships |
Various scholarships available based on merit and need (e.g., GSIS, SNU Graduate Scholarship) |
|
Career Prospects |
Opportunities in top tech firms, academia, research organizations, and startups. Graduates often find roles in software engineering, data science, AI, and cybersecurity. |
|
Curriculum Structure |
Core courses in algorithms, data structures, and computer architecture. Electives in AI, machine learning, big data, cybersecurity, and more. Capstone project and research thesis required. |
