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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: $ 15000(₹ 1200000)
Total Course Fees: $ 30000(₹ 2400000)

Why Choose MS in Artificial intelligence at Sungkyunkwan University( SKKU), South Korea

Choosing the MS in Artificial Intelligence at Sungkyunkwan University (SKKU) offers an exceptional opportunity to study at one of South Korea’s top-ranked universities, renowned for its cutting-edge research and innovative AI programs. SKKU provides access to state-of-the-art facilities, expert faculty, and strong industry connections, particularly within the dynamic tech landscape of South Korea. The program emphasizes both theoretical foundations and practical applications, preparing graduates for global careers in AI and related fields. With a vibrant, diverse student community and strong industry collaborations, SKKU offers an ideal environment for growth and development in the rapidly evolving field of AI.


MS in Artificial intelligence at Sungkyunkwan University( SKKU), South Korea, Program Details
 

Program Information

Details

Program Name

MS in Artificial Intelligence

Degree Awarded

Master of Science in Artificial Intelligence

Course Duration

2 years

Language of Instruction

English

Yearly Tuition Fees

Approximately 16,000,000 KRW (Korean Won)

Total Tuition Fees

Approximately 32,000,000 KRW

Total Program Cost

Approximately 35,000,000 KRW (including living expenses and other fees)

Eligibility

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

Admission Requirements

 Completed application form
 Bachelor's degree
 Transcript
 Recommendation letters
 English proficiency (TOEFL, IELTS, or equivalent)
 Statement of Purpose

Application Intake

Fall Semester (September)

Scholarship

Merit-based scholarships available, covering partial to full tuition fees

Career Prospects

AI specialist, data scientist, machine learning engineer, AI researcher, roles in various industries like tech, healthcare, finance, etc.

Curriculum Structure

 Core courses in AI, machine learning, and deep learning
 Elective courses in robotics, computer vision, NLP, etc.
 Research-oriented thesis or project work