| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 5200(₹ 440000) | |
| Total Course Fees: | $ 10400(₹ 880000) | |
Kwangwoon University in South Korea offers a cutting-edge MS in Artificial Intelligence program that combines strong theoretical foundations with practical applications. The curriculum emphasizes machine learning, deep learning, natural language processing, and computer vision, preparing students for advanced AI research and industry roles. With access to modern laboratories, collaborative projects, and partnerships with leading tech companies, students gain hands-on experience in real-world AI challenges. The university’s international environment, expert faculty, and focus on innovation foster a global perspective and interdisciplinary skills. Pursuing an MS here equips students to become leaders in the rapidly evolving field of AI.
Category |
Details |
|---|---|
|
Program Name |
MS in Artificial Intelligence |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English / Korean |
|
Yearly Tuition Fees |
Approx. KRW 4,000,000 – 5,000,000 (≈ USD 3,000–3,800) |
|
Total Tuition Fees |
Approx. KRW 8,000,000 – 10,000,000 (≈ USD 6,000–7,600) |
|
Total Program Cost |
Approx. KRW 10,000,000 – 12,000,000 (≈ USD 7,600–9,000) including living expenses |
|
Eligibility |
Bachelor’s degree in Computer Science, Engineering, or related fields; minimum GPA 3.0/4.0 |
|
Admission Requirements |
Academic transcripts, statement of purpose, recommendation letters, proof of English/Korean proficiency (TOEFL/IELTS/Topik), interview |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
University scholarships, government scholarships (e.g., Korean Government Scholarship Program), research assistantships |
|
Career Prospects |
AI Researcher, Data Scientist, Machine Learning Engineer, Robotics Engineer, AI Consultant, Academic roles |
|
Curriculum Structure |
Core Courses: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision; Electives: AI Ethics, Big Data Analytics, Robotics; Thesis/Capstone Project mandatory |
.png)
