| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
Choosing a B.Sc. in Artificial Intelligence at Daegu Haany University (DHU) offers a unique opportunity to study in South Korea, a global leader in technology and innovation. DHU provides cutting-edge AI education, combining theoretical knowledge with practical applications in machine learning, data analysis, and robotics. The program is designed to equip students with the skills needed to excel in the rapidly evolving AI industry. With state-of-the-art facilities, experienced faculty, and strong industry connections, DHU ensures a dynamic learning environment. Studying here also offers exposure to South Korea’s thriving tech ecosystem, enhancing career prospects in AI and beyond.
Category |
Details |
|---|---|
|
Program Name |
B.Sc in Artificial Intelligence |
|
Degree Awarded |
Bachelor of Science in Artificial Intelligence |
|
Course Duration |
4 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately 4,000,000 KRW (subject to change) |
|
Total Tuition Fees |
Approximately 16,000,000 KRW (for 4 years) |
|
Total Program Cost |
Includes tuition, accommodation, and living expenses, estimated at 20,000,000 to 24,000,000 KRW for the entire program |
|
Eligibility |
High school diploma or equivalent with strong performance in mathematics and science subjects |
|
Admission Requirements |
Completed application form, academic transcripts, proof of English proficiency (TOEFL, IELTS), recommendation letters, and personal statement |
|
Application Intake |
Spring and Fall intakes (March and September) |
|
Scholarships |
Merit-based scholarships available for high-achieving students |
|
Career Prospects |
Graduates can pursue careers in AI research, machine learning engineering, data science, robotics, AI software development, and more in global tech companies |
|
Curriculum Structure |
The curriculum includes foundational courses in mathematics, programming, data analysis, and AI theory, followed by specialized courses in machine learning, robotics, and AI ethics. Includes project work and internships. |
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