| 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) | |
The PhD in Artificial Intelligence at the Korea Advanced Institute of Science & Technology (KAIST) offers world-class education and research opportunities in AI. KAIST is renowned for its cutting-edge research, innovative faculty, and strong industry connections. The program fosters a multidisciplinary approach, combining AI with fields like robotics, machine learning, and data science. Students benefit from access to state-of-the-art labs, collaborative projects with global companies, and a dynamic academic environment. With Korea's growing emphasis on AI technology, KAIST offers a unique platform to contribute to groundbreaking advancements while positioning graduates for global career success.
Aspect |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Artificial Intelligence |
|
Course Duration |
Typically 4-6 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. USD 9,000 - 12,000 per year |
|
Total Tuition Fees |
Approx. USD 36,000 - 72,000 for the entire program |
|
Total Program Cost |
Approx. USD 50,000 - 90,000 (including living expenses) |
|
Eligibility |
Master’s degree or equivalent in AI, Computer Science, or related field |
|
Admission Requirements |
Transcripts, Letters of Recommendation, Research Proposal, GRE (optional), English proficiency test (TOEFL/IELTS) |
|
Application Intake |
Spring and Fall (typically twice a year) |
|
Scholarships |
KAIST offers various scholarships covering tuition and living expenses for international students |
|
Career Prospects |
Academic positions, AI Research Scientist, Data Scientist, Machine Learning Engineer, AI Consultant in industries such as tech, automotive, and healthcare |
|
Curriculum Structure |
Core AI courses, Research seminars, Elective courses in Machine Learning, Robotics, Data Science, and related areas, Dissertation research |
