| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
Choosing a B.Tech in Artificial Intelligence at the University of Seoul, South Korea, offers a unique blend of cutting-edge technology education and global exposure. The program emphasizes practical AI applications, including machine learning, robotics, and data analytics, guided by experienced faculty and industry collaborations. Students benefit from advanced research facilities, innovation labs, and opportunities for internships with leading tech companies. South Korea’s dynamic AI ecosystem and strong emphasis on technology-driven industries provide a fertile ground for career growth. Additionally, studying in Seoul enriches cultural understanding, fosters international networking, and equips graduates with the skills to excel in the rapidly evolving AI field.
Parameter |
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 |
Approx. 5,000 – 6,000 USD per year |
|
Total Tuition Fees |
Approx. 20,000 – 24,000 USD |
|
Total Program Cost |
Approx. 25,000 – 30,000 USD (including accommodation, food, and other expenses) |
|
Eligibility |
10+2 or equivalent with strong background in Mathematics, Physics, and English |
|
Admission Requirements |
High school transcripts, English proficiency (TOEFL/IELTS), Statement of Purpose, Letters of Recommendation |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
Merit-based scholarships, need-based financial aid, government and university scholarships for international students |
|
Career Prospects |
AI Engineer, Data Scientist, Robotics Engineer, Machine Learning Specialist, Research Scientist, Software Developer |
|
Curriculum Structure |
Core AI courses (Machine Learning, Deep Learning, NLP), Mathematics & Statistics, Programming, Robotics, Data Analytics, AI Ethics, Capstone Projects, Electives |
