| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Pursuing an M.Tech in Computer Science at Korea University offers a blend of academic excellence, innovation, and global exposure. Ranked among South Korea’s top institutions, the university provides cutting-edge research facilities, strong industry connections, and a curriculum aligned with emerging technologies like AI, data science, and cybersecurity. Students benefit from internationally recognized faculty, diverse peer networks, and opportunities for collaborative projects with leading tech companies. Korea University’s location in Seoul, a global technology hub, further enhances career prospects. The program emphasizes both theoretical depth and practical application, preparing graduates to excel in research, industry, or entrepreneurial ventures worldwide.
Field |
Details |
|---|---|
|
Program Name |
Master of Technology (M.Tech) in Computer Science |
|
Degree Awarded |
Master of Engineering / Master of Science in Computer Science (depending on track) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English (with some courses available in Korean) |
|
Yearly Tuition Fees |
USD 6,000 – 7,000 (KRW 7–8 million) |
|
Total Tuition Fees |
USD 12,000 – 14,000 |
|
Total Program Cost |
USD 20,000 – 22,000 (including living expenses) |
|
Eligibility |
Bachelor’s degree in Computer Science/IT or related field; strong academic record |
|
Admission Requirements |
Online application, transcripts, English proficiency test (TOEFL/IELTS), recommendation letters, statement of purpose, CV |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Korea University Global KU Scholarship, Korean Government Scholarship (GKS), research assistantships |
|
Career Prospects |
Software Engineer, Data Scientist, AI Specialist, Researcher, IT Consultant, PhD opportunities |
|
Curriculum Structure |
Core courses (Algorithms, Operating Systems, Machine Learning), electives (Big Data, Cybersecurity, Cloud Computing), research project, thesis |
