| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 3000(₹ 250000) | |
| Total Course Fees: | $ 6000(₹ 500000) | |
Choosing a PhD in Artificial Intelligence at Pukyong National University, South Korea, offers a unique blend of advanced research opportunities and cutting-edge technological development. The university is renowned for its strong emphasis on AI, machine learning, and data science, supported by state-of-the-art laboratories and collaborative industry partnerships. Students benefit from expert faculty guidance, interdisciplinary research programs, and access to innovative projects addressing real-world challenges. Additionally, South Korea’s dynamic tech ecosystem provides exposure to AI applications in robotics, smart systems, and big data. Pursuing a PhD here fosters both academic excellence and practical expertise, preparing graduates for global leadership in AI.
Parameter |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) |
|
Course Duration |
3–5 years |
|
Language of Instruction |
English / Korean |
|
Yearly Tuition Fees |
Approx. 4,500,000 KRW (varies by program) |
|
Total Tuition Fees |
Approx. 13,500,000–22,500,000 KRW |
|
Total Program Cost |
Including living expenses: Approx. 30,000,000–40,000,000 KRW |
|
Eligibility |
Master’s degree in AI, Computer Science, or related field |
|
Admission Requirements |
Academic transcripts, research proposal, recommendation letters, English proficiency (TOEFL/IELTS), interview |
|
Application Intake |
Typically Fall semester (August–September) |
|
Scholarship |
University scholarships, government-funded scholarships (e.g., KGSP) |
|
Career Prospects |
AI researcher, data scientist, machine learning engineer, academia, R&D roles in industry |
|
Curriculum Structure |
Core AI courses, advanced machine learning, robotics, deep learning, research methodology, thesis research, seminars, and elective specialized courses |
