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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 Korea University, South Korea

Choosing a B.Tech in Artificial Intelligence at Korea University, South Korea, offers a strong foundation in cutting-edge AI technologies while studying at one of Asia’s most prestigious institutions. The program combines theoretical knowledge with practical applications in machine learning, robotics, and data science, preparing students for global careers. Korea University fosters innovation through advanced research facilities, industry partnerships, and interdisciplinary learning. Being located in Seoul, a hub of technological development, students gain exposure to real-world AI applications and career opportunities. With world-class faculty and a vibrant international community, it’s an ideal destination for aspiring AI professionals.


B.Tech in Artificial Intelligence at Korea University, South Korea, Program Details
 

Category

Details

Program Name

B.Tech (Bachelor of Engineering) in Artificial Intelligence

Degree Awarded

Bachelor of Technology (B.Tech)

Course Duration

4 years (8 semesters)

Language of Instruction

English and Korean (select courses in English)

Yearly Tuition Fees

 KRW 6,000,000 – 7,000,000 (USD 4,500 – 5,500)

Total Tuition Fees

 KRW 24,000,000 – 28,000,000 (USD 18,000 – 22,000)

Total Program Cost

 USD 25,000 – 30,000 (including living expenses)

Eligibility

High school completion (STEM background preferred); English/Korean proficiency (TOEFL/IELTS or TOPIK)

Admission Requirements

Application form, academic transcripts, statement of purpose, recommendation letters, proof of language proficiency, passport copy

Application Intake

Spring (March) and Fall (September)

Scholarship

Korea University Global KU Scholarship, Korean Government Scholarship Program (KGSP), merit-based & need-based grants

Career Prospects

AI Engineer, Data Scientist, Machine Learning Specialist, Robotics Engineer, AI Researcher, IT Consultant, Graduate Studies (M.S./Ph.D.)

Curriculum Structure

Year 1: Fundamentals of Programming, Mathematics, Physics, Introduction to AI
Year 2: Data Structures, Algorithms, Probability & Statistics, Machine Learning Basics
Year 3: Deep Learning, Natural Language Processing, Computer Vision, Robotics
Year 4: AI Ethics, Capstone Project, AI Applications, Industry Internship