| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 12000(₹ 1000000) | |
| Total Course Fees: | $ 24000(₹ 2000000) | |
Choosing a PhD in Artificial Intelligence at Jeju National University (JNU), South Korea, offers a unique opportunity to study cutting-edge AI technologies in a globally competitive research environment. JNU provides advanced facilities, interdisciplinary collaboration, and access to Korea’s rapidly growing tech ecosystem. Students work with expert faculty on innovative projects in machine learning, data science, robotics, and intelligent systems. Located on Jeju Island, a UNESCO World Heritage site, JNU also offers a peaceful and inspiring environment for research. The program emphasizes academic excellence, global engagement, and real-world AI applications, preparing graduates for impactful careers in academia and industry.
Category |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) |
|
Course Duration |
3–4 years (full-time) |
|
Language of Instruction |
English or Korean |
|
Yearly Tuition Fees |
Approximately USD 3,000–4,000 |
|
Total Tuition Fees |
Approximately USD 12,000–16,000 (for 4 years) |
|
Total Program Cost (Including Living Expenses) |
Approximately USD 25,000–30,000 |
|
Eligibility |
Master’s degree in Computer Science, AI, Data Science, or a related field; strong research background |
|
Admission Requirements |
Application form, academic transcripts, research proposal, proof of English proficiency (TOEFL/IELTS), recommendation letters, interview (if required) |
|
Application Intake |
March (Spring Semester) and September (Fall Semester) |
|
Scholarship |
University scholarships, Korean Government Scholarship (GKS), and research assistantships available |
|
Career Prospects |
AI researcher, university faculty, data scientist, machine learning engineer, R&D specialist in academia or industry |
|
Curriculum Structure |
Core courses (Machine Learning, Deep Learning, Data Mining), research seminars, elective specialization courses, dissertation research and defense |
