| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 5800(₹ 442000) | |
| Total Course Fees: | $ 11600(₹ 884000) | |
Choosing an MS in Artificial Intelligence at Jeju National University (Ara Campus), South Korea, offers a unique blend of cutting-edge research, industry collaboration, and global exposure. The program emphasizes practical AI applications, including machine learning, deep learning, and data analytics, supported by state-of-the-art labs and faculty expertise. Jeju’s innovative curriculum fosters interdisciplinary learning and problem-solving skills, preparing students for careers in AI research, development, and entrepreneurship. Additionally, studying at Jeju provides a vibrant international environment, cultural enrichment, and networking opportunities with leading AI companies, making it an ideal choice for aspiring AI professionals seeking both academic excellence and global experience.
Category |
Details |
|---|---|
|
Program Name |
MS in Artificial Intelligence |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (Full-time) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. 5,000,000 KRW (~$4,000 USD) |
|
Total Tuition Fees |
Approx. 10,000,000 KRW (~$8,000 USD) |
|
Total Program Cost |
Approx. 12,000,000 KRW (~$9,600 USD) including living expenses |
|
Eligibility |
Bachelor’s degree in CS, IT, Engineering, Mathematics, or related fields; GPA ≥ 3.0/4.0 |
|
Admission Requirements |
Transcript, CV, Statement of Purpose, Letters of Recommendation, English proficiency (TOEFL/IELTS), GRE (optional) |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
University scholarships covering partial or full tuition; Korean Government (KGSP) scholarships may apply |
|
Career Prospects |
AI researcher, data scientist, machine learning engineer, robotics engineer, AI consultant in tech companies or research institutes |
|
Curriculum Structure |
Core Courses: Machine Learning, Deep Learning, Data Mining, AI Ethics |
