| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 9000(₹ 700000) | |
| Total Course Fees: | $ 18000(₹ 1400000) | |
Choosing an MS in Computer Science at the University of Ulsan, South Korea, offers a unique blend of academic excellence and industry relevance. The program emphasizes advanced research in AI, data science, and software engineering, guided by experienced faculty. Students benefit from state-of-the-art laboratories, collaborative projects, and opportunities with leading tech companies in Korea. The university’s focus on innovation and practical experience ensures graduates are well-prepared for global careers. Additionally, studying in Ulsan provides exposure to a vibrant technological hub while experiencing Korea’s rich culture. This combination of research, hands-on learning, and cultural immersion makes it an ideal choice.
Category |
Details |
|---|---|
|
Program Name |
Master of Science in Computer Science |
|
Degree Awarded |
Master’s Degree (M.S.) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English / Korean (depending on course) |
|
Yearly Tuition Fees |
Approx. KRW 5,000,000 – 7,000,000 (~USD 4,000 – 5,500) |
|
Total Tuition Fees |
Approx. KRW 10,000,000 – 14,000,000 (~USD 8,000 – 11,000) |
|
Total Program Cost (including living expenses) |
Approx. KRW 20,000,000 – 25,000,000 (~USD 16,000 – 20,000) |
|
Eligibility |
Bachelor’s degree in Computer Science or related field; GPA ≥ 3.0/4.0 |
|
Admission Requirements |
Transcript, Statement of Purpose, Recommendation Letters, English proficiency (TOEFL/IELTS if non-Korean), possibly GRE |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
University scholarships, Korean Government Scholarship Program (KGSP), Research/Teaching assistantships |
|
Career Prospects |
Software Developer, Data Scientist, AI Engineer, Researcher, IT Consultant in Korea & globally |
|
Curriculum Structure |
Core Courses (Algorithms, AI, Data Structures), Electives (Machine Learning, Cloud Computing, Big Data), Thesis/Research Project |
