| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 4500(₹ 370000) | |
| Total Course Fees: | $ 9000(₹ 740000) | |
Pursuing a PhD in Artificial Intelligence at Anyang University, South Korea, offers a cutting-edge academic environment focused on innovation, research, and practical applications of AI. The university provides access to advanced laboratories, experienced faculty, and interdisciplinary collaboration opportunities. Students engage in pioneering research areas such as machine learning, data science, robotics, and intelligent systems. Anyang University’s global outlook and strong industry connections support academic growth and career advancement. Located near Seoul, it also offers a vibrant cultural experience and networking with technology leaders, making it an ideal destination for aspiring AI researchers and professionals.
Program Details |
Information |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) |
|
Course Duration |
3 to 4 years |
|
Language of Instruction |
English / Korean |
|
Yearly Tuition Fees |
Approximately USD 6,000 – 8,000 |
|
Total Tuition Fees |
Approximately USD 18,000 – 24,000 |
|
Total Program Cost (including living expenses) |
Around USD 30,000 – 35,000 |
|
Eligibility |
Master’s degree in Computer Science, AI, Data Science, or related fields |
|
Admission Requirements |
Academic transcripts, research proposal, CV, letters of recommendation, proof of English/Korean proficiency, interview (if required) |
|
Application Intake |
March and September (Spring and Fall semesters) |
|
Scholarship |
Merit-based and research assistantship scholarships available for international students |
|
Career Prospects |
AI researcher, data scientist, university professor, robotics engineer, AI consultant, or R&D specialist in technology firms |
|
Curriculum Structure |
Core AI courses, research methodology, machine learning, deep learning, data analytics, robotics, natural language processing, dissertation research and defense |
