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B.Tech in Artificial Intelligence

Course Level: Bachelor's
Course Duration: 4 Years
Course Language English
Required Degree Class 12th

Why Choose B.Tech in Artificial Intelligence at Yonam Institute of Digital Technology, South Korea

Choosing a B.Tech in Artificial Intelligence at Yonam Institute of Digital Technology, South Korea, offers a unique blend of advanced education and hands-on experience. The program focuses on cutting-edge AI technologies, machine learning, and data science, preparing students for global tech careers. With state-of-the-art labs, experienced faculty, and industry collaborations, Yonam provides an ideal environment for innovation and research. Located in a tech-driven nation, students benefit from Korea’s robust digital ecosystem and career opportunities. The program is designed to nurture future AI leaders with practical skills, ethical understanding, and global perspectives, making it a smart choice for aspiring technologists.


B.Tech in Artificial Intelligence at Yonam Institute of Digital Technology, South Korea, Program Details
 

Category

Details

Program Name

B.Tech in Artificial Intelligence

Degree Awarded

Bachelor of Technology (B.Tech)

Course Duration

4 Years (8 Semesters)

Language of Instruction

English

Yearly Tuition Fees

USD 4,000 (approx.)

Total Tuition Fees

USD 16,000 (approx. for 4 years)

Total Program Cost

USD 20,000 (including tuition, registration, insurance, and other fees)

Eligibility

High school diploma or equivalent with strong background in Math and Science

Admission Requirements

Completed application, academic transcripts, English proficiency (TOEFL/IELTS), recommendation letter, personal statement

Application Intake

Spring (March) and Fall (September)

Scholarship

Merit-based and need-based scholarships available for international students

Career Prospects

AI Engineer, Data Scientist, Machine Learning Engineer, Robotics Developer, Researcher, Software Developer

Curriculum Structure

Core AI courses, Programming, Data Structures, Machine Learning, Deep Learning, Ethics in AI, Capstone Projects, Internships