| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
The B.Sc in Applied Artificial Intelligence at Korea Advanced Institute of Science & Technology (KAIST) offers a world-class education in one of the most cutting-edge fields of technology. KAIST is renowned for its strong research focus, top-tier faculty, and state-of-the-art facilities. The program combines theoretical knowledge with practical skills, equipping students with expertise in AI, machine learning, and data science. Students gain hands-on experience through projects, internships, and collaborations with industry leaders. With South Korea’s growing AI landscape and KAIST’s global reputation, graduates are well-positioned for successful careers in academia, research, or tech industry roles worldwide.
Category |
Details |
|---|---|
|
Program Name |
B.Sc in Applied Artificial Intelligence |
|
Degree Awarded |
Bachelor of Science (B.Sc) in Applied Artificial Intelligence |
|
Course Duration |
4 Years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. $20,000 - $25,000 (varies for international students) |
|
Total Tuition Fees |
Approx. $80,000 - $100,000 (for the entire 4-year program) |
|
Total Program Cost |
Includes tuition fees, living expenses, and additional costs – approx. $120,000 - $150,000 |
|
Eligibility |
High school diploma or equivalent, strong background in mathematics, physics, and computer science |
|
Admission Requirements |
High school transcripts, standardized test scores (SAT/ACT), recommendation letters, personal statement |
|
Application Intake |
Typically in April/May for Fall intake, and in September/October for Spring intake |
|
Scholarship |
KAIST offers various merit-based scholarships for international students, covering partial/full tuition fees |
|
Career Prospects |
Careers in AI research, machine learning, data science, software development, and tech industry roles |
|
Curriculum Structure |
The program includes foundational courses in AI, machine learning, data analysis, programming, ethics, and advanced AI applications |
