| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 18000(₹ 1400000) | |
| Total Course Fees: | $ 36000(₹ 2800000) | |
Choosing a PhD in Artificial Intelligence at Sungkyunkwan University (SKKU) offers an excellent opportunity for cutting-edge research and academic excellence. SKKU is renowned for its strong AI programs, advanced research facilities, and collaborations with global tech industries. Located in South Korea, a hub of technological innovation, students gain access to a thriving AI ecosystem. The program emphasizes interdisciplinary learning, offering a solid foundation in AI theory and practical applications. SKKU’s dedicated faculty members, diverse research centers, and robust industry connections provide a dynamic environment for aspiring AI scholars to make significant contributions to the field.
Category |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Artificial Intelligence |
|
Course Duration |
3-5 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately USD 6,000 - USD 8,000 (subject to change) |
|
Total Tuition Fees |
Approximately USD 18,000 - USD 40,000 (varies depending on duration) |
|
Total Program Cost |
Includes tuition, living expenses, and other fees, approximately USD 30,000 - USD 50,000 |
|
Eligibility |
Master's degree in relevant fields (e.g., Computer Science, Engineering, Mathematics), strong academic background |
|
Admission Requirements |
Research proposal, academic transcripts, letters of recommendation, proof of English proficiency (TOEFL/IELTS), interview |
|
Application Intake |
Spring and Fall intakes |
|
Scholarship |
Available for outstanding candidates (e.g., research assistantships, merit-based scholarships) |
|
Career Prospects |
Opportunities in academia, research institutions, technology companies, AI development, data science, robotics |
|
Curriculum Structure |
Includes advanced AI topics such as Machine Learning, Neural Networks, Computer Vision, Natural Language Processing, and AI Ethics, alongside research work leading to dissertation. |
