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MS in Artificial intelligence

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree
First Year Total Fees: $ 8000(₹ 650000)
Total Course Fees: $ 16000(₹ 1300000)

Why Choose MS in Artificial intelligence at AJOU UNIVERSITY, South Korea

Choosing an MS in Artificial Intelligence at Ajou University, South Korea, offers students a world-class education in one of Asia’s most innovative countries. Ajou University is recognized for its strong research environment, advanced AI curriculum, and emphasis on practical applications. Students benefit from cutting-edge laboratories, collaboration with industry leaders, and opportunities in Korea’s thriving tech ecosystem. The program integrates theory, hands-on projects, and interdisciplinary learning to prepare graduates for careers in AI, machine learning, robotics, and data science. With its global outlook, supportive faculty, and vibrant campus life, Ajou University provides an excellent platform for academic and professional growth.


MS in Artificial intelligence at AJOU UNIVERSITY, South Korea, Program Details
 

Category

Details

Program Name

Master of Science (MS) in Artificial Intelligence

Degree Awarded

Master’s Degree

Course Duration

2 years (4 semesters)

Language of Instruction

English (some elective courses may be in Korean)

Yearly Tuition Fees

Approx. USD 6,000 – 7,000

Total Tuition Fees

Approx. USD 12,000 – 14,000 (for 2 years)

Total Program Cost

Around USD 20,000 (including living expenses)

Eligibility

Bachelor’s degree in Computer Science, Engineering, or related fields

Admission Requirements

Online application, academic transcripts, proof of English proficiency (TOEFL/IELTS), recommendation letters, statement of purpose, CV, and interview (if required)

Application Intake

Spring (March) and Fall (September)

Scholarship

Ajou University Graduate Scholarship (partial to full tuition waivers based on merit)

Career Prospects

AI Engineer, Data Scientist, Machine Learning Specialist, Researcher, Robotics Developer, Academic Researcher

Curriculum Structure

Core AI courses (Machine Learning, Deep Learning, Computer Vision, NLP), Electives (Big Data, Robotics, Intelligent Systems), Research Project, Thesis