| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 4000(₹ 370000) | |
| Total Course Fees: | $ 8000(₹ 740000) | |
Choosing an MS in Artificial Intelligence at Gangneung-Wonju National University (GWNU), South Korea, offers a unique blend of advanced education and research opportunities. The program provides cutting-edge courses in machine learning, deep learning, natural language processing, and computer vision, guided by experienced faculty actively involved in AI research. GWNU emphasizes hands-on projects, industry collaborations, and access to modern AI laboratories, fostering practical skills alongside theoretical knowledge. Situated in a tech-driven country, students gain exposure to South Korea’s innovative AI ecosystem. The supportive academic environment, combined with scholarships and cultural experiences, makes GWNU an ideal destination for aspiring AI professionals.
Category |
Details |
|---|---|
|
Program Name |
Master of Science (MS) in Artificial Intelligence |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English / Korean (depending on courses) |
|
Yearly Tuition Fees |
Approximately 4,000,000 – 5,000,000 KRW (~$3,000–$3,800 USD) |
|
Total Tuition Fees |
Approximately 8,000,000 – 10,000,000 KRW (~$6,000–$7,600 USD) |
|
Total Program Cost |
Including tuition, living expenses: ~$12,000–$15,000 USD |
|
Eligibility |
Bachelor’s degree in Computer Science, AI, Data Science, or related fields |
|
Admission Requirements |
Academic transcripts, Statement of Purpose, Recommendation Letters, English/Korean proficiency |
|
Application Intake |
Fall semester (September), Spring semester (March) |
|
Scholarship |
University scholarships, government scholarships, research assistantships available |
|
Career Prospects |
AI Engineer, Data Scientist, Machine Learning Engineer, Researcher, AI Consultant |
|
Curriculum Structure |
Core courses: AI fundamentals, Machine Learning, Deep Learning, NLP, Computer Vision; Electives: Robotics, Big Data, AI Ethics; Thesis/Research Project required |
