| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 5800(₹ 442000) | |
| Total Course Fees: | $ 11600(₹ 884000) | |
The MS in Artificial Intelligence at Korea Advanced Institute of Science and Technology (KAIST) offers a world-class education with a strong emphasis on cutting-edge research and innovation. KAIST is renowned for its pioneering work in AI, providing students access to state-of-the-art labs and faculty experts. The program is designed to equip students with advanced technical skills, critical thinking, and problem-solving abilities. Additionally, KAIST’s strong industry connections offer numerous opportunities for internships and collaborations with leading tech companies. Located in South Korea, a global tech hub, the program provides an ideal environment for aspiring AI professionals to thrive.
Category |
Details |
|---|---|
|
Program Name |
MS in Artificial Intelligence |
|
Degree Awarded |
Master of Science (MS) in Artificial Intelligence |
|
Course Duration |
2 years (typically) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately $18,000 to $20,000 (may vary) |
|
Total Tuition Fees |
Approximately $36,000 to $40,000 |
|
Total Program Cost |
Approximately $40,000 to $45,000 (including living expenses) |
|
Eligibility |
A Bachelor's degree in Computer Science, Engineering, or a related field. Strong mathematical and programming background. |
|
Admission Requirements |
Application form, bachelor's degree transcript, recommendation letters, statement of purpose, GRE scores (optional), English proficiency test (TOEFL/IELTS) |
|
Application Intake |
Typically in Fall (September) and Spring (February) |
|
Scholarships |
Merit-based scholarships, KAIST internal scholarships, external scholarships |
|
Career Prospects |
Opportunities in AI research, tech companies, startups, and industries such as robotics, data science, machine learning, and natural language processing |
|
Curriculum Structure |
Core courses in AI theory, machine learning, deep learning, natural language processing, robotics, data science, and electives in specialized areas. Projects and thesis options available. |
