| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
| First Year Total Fees: | $ 9500(₹ 1200000) | |
| Total Course Fees: | $ 19000(₹ 2400000) | |
Sejong University in South Korea offers a cutting-edge MS in Artificial Intelligence program, blending strong theoretical foundations with practical applications. The curriculum covers machine learning, deep learning, natural language processing, and computer vision, preparing students for advanced AI research and industry roles. With state-of-the-art laboratories, experienced faculty, and collaboration opportunities with leading tech companies, students gain hands-on experience in real-world AI projects. South Korea’s dynamic tech ecosystem provides exposure to innovation and career opportunities. Additionally, Sejong fosters a multicultural environment, enhancing global networking and research collaboration. This program equips students with the skills to become leaders in AI.
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 (varies by course) |
|
Yearly Tuition Fees |
Approx. 6,000 – 8,000 USD |
|
Total Tuition Fees |
Approx. 12,000 – 16,000 USD |
|
Total Program Cost |
Approx. 15,000 – 20,000 USD (including living expenses) |
|
Eligibility |
Bachelor’s degree in Computer Science, IT, Engineering, or related field |
|
Admission Requirements |
Academic transcripts, CV, Statement of Purpose, Recommendation letters, English proficiency (TOEFL/IELTS) |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
University scholarships, government scholarships for international students |
|
Career Prospects |
AI Engineer, Data Scientist, Machine Learning Researcher, NLP Specialist, Computer Vision Engineer |
|
Curriculum Structure |
Core courses: Machine Learning, Deep Learning, NLP, Computer Vision; Electives: Robotics, AI Ethics, Big Data Analytics; Thesis or Research Project |
