| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 7200(₹ 560000) | |
| Total Course Fees: | $ 14400(₹ 1120000) | |
Choosing a PhD in Artificial Intelligence at Jeju National University’s Ara Campus offers a unique blend of cutting-edge research and a supportive academic environment. The program emphasizes advanced AI topics, including machine learning, deep learning, and intelligent systems, guided by experienced faculty with strong international collaborations. Jeju’s Ara Campus provides state-of-the-art laboratories, access to large-scale datasets, and interdisciplinary research opportunities. Students benefit from a vibrant, innovative research community and funding support for conferences and projects. Additionally, studying in South Korea offers exposure to a technologically advanced society and global networking, making it an ideal destination for aspiring AI researchers.
Category |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Artificial Intelligence |
|
Course Duration |
3–5 years (full-time) |
|
Language of Instruction |
English / Korean (depending on course) |
|
Yearly Tuition Fees |
Approx. KRW 4,000,000 – 6,000,000 (~USD 3,000–4,500) |
|
Total Tuition Fees |
Approx. KRW 12,000,000 – 30,000,000 (~USD 9,000–22,500) |
|
Total Program Cost |
Includes tuition, living expenses, research, approx. KRW 30,000,000–50,000,000 (~USD 22,500–37,500) |
|
Eligibility |
Master’s degree in Computer Science, AI, Data Science, or related fields; strong research background |
|
Admission Requirements |
1. Academic transcripts |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Full or partial tuition waivers, research assistantships, government scholarships for international students |
|
Career Prospects |
AI researcher, data scientist, machine learning engineer, academic faculty, R&D roles in tech companies |
|
Curriculum Structure |
1. Core AI courses (Machine Learning, Deep Learning, NLP) |
