| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 25000(₹ 2200000) | |
| Total Course Fees: | $ 50000(₹ 4400000) | |
Choosing an MS in Artificial Intelligence at Hallym University, South Korea, offers a unique blend of cutting-edge education and global exposure. Hallym provides advanced AI research facilities, access to experienced faculty, and interdisciplinary programs integrating machine learning, robotics, and data science. The curriculum emphasizes practical applications, hands-on projects, and industry collaborations, preparing students for innovative careers in AI. South Korea’s vibrant tech ecosystem and Hallym’s strong industry connections create opportunities for internships and research partnerships. Additionally, the university fosters an international learning environment, cultural diversity, and personal growth, making it an ideal destination for aspiring AI professionals seeking both academic excellence and career advancement.
Category |
Details |
|---|---|
|
Program Name |
MS in Artificial Intelligence |
|
Degree Awarded |
Master of Science (M.S.) in Artificial Intelligence |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English / Korean (depending on course) |
|
Yearly Tuition Fees |
Approx. 5,000 – 6,000 USD |
|
Total Tuition Fees |
Approx. 10,000 – 12,000 USD |
|
Total Program Cost |
Approx. 12,000 – 15,000 USD (including living expenses) |
|
Eligibility |
Bachelor’s degree in CS, IT, Electronics, or related fields; GPA ≥ 3.0 |
|
Admission Requirements |
Transcript, Recommendation Letters, Statement of Purpose, English Proficiency (TOEFL/IELTS), Resume/CV |
|
Application Intake |
Fall (September) and Spring (March) |
|
Scholarship |
Merit-based scholarships, tuition waivers, and research assistantships |
|
Career Prospects |
AI Researcher, Data Scientist, Machine Learning Engineer, Robotics Specialist, AI Consultant |
|
Curriculum Structure |
Core Courses (Machine Learning, Deep Learning, AI Algorithms), Electives (Robotics, NLP, Computer Vision), Research Thesis, Capstone Project |
