| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 20000(₹ 2500000) | |
| Total Course Fees: | $ 40000(₹ 5000000) | |
Choosing a PhD in Artificial Intelligence at Ulsan National Institute of Science & Technology (UNIST) offers an opportunity to engage with cutting-edge research in AI, backed by world-class faculty and state-of-the-art facilities. UNIST is renowned for its interdisciplinary approach, fostering collaboration across AI, robotics, and data science. South Korea’s strong focus on technological innovation ensures a dynamic learning environment, while the university's strong industry partnerships provide valuable real-world exposure. UNIST also offers a vibrant research community, offering students access to global networks, and the chance to contribute to groundbreaking developments in AI across various domains.
Category |
Details |
|---|---|
|
Program Name |
PhD in Artificial Intelligence |
|
Degree Awarded |
Doctor of Philosophy (Ph.D.) in Artificial Intelligence |
|
Course Duration |
Typically 4-5 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. KRW 10,000,000 (subject to change) |
|
Total Tuition Fees |
Approx. KRW 40,000,000 - KRW 50,000,000 (depending on the duration of the program) |
|
Total Program Cost |
Includes tuition fees, living expenses, and other miscellaneous costs: Approx. KRW 60,000,000 - KRW 70,000,000 |
|
Eligibility |
A Master’s degree or equivalent in a related field (e.g., Computer Science, Engineering, Mathematics, etc.) |
|
Admission Requirements |
A strong academic background in AI, Computer Science, or related fields. |
|
Application Intake |
Typically twice a year: Spring (March intake) and Fall (September intake) |
|
Scholarship |
Various scholarships available for international students, including full or partial tuition fee coverage, and stipends for living expenses. |
|
Career Prospects |
Graduates can pursue careers in academia, research institutes, AI startups, technology companies, and industries like healthcare, automotive, finance, etc. |
|
Curriculum Structure |
Core courses in AI, Machine Learning, Deep Learning, Robotics, Data Science. |
