| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 3 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
| First Year Total Fees: | $ 14000(₹ 120000) | |
| Total Course Fees: | $ 42000(₹ 3600000) | |
Choosing a B.Tech in Artificial Intelligence at Hallym University, South Korea, offers a unique blend of cutting-edge technology education and global exposure. The program emphasizes practical AI applications, including machine learning, data analytics, and robotics, preparing students for future-ready careers. Hallym University provides state-of-the-art labs, research opportunities, and industry collaborations, fostering innovation and hands-on experience. Small class sizes ensure personalized learning, while a multicultural campus enhances cross-cultural skills. South Korea’s leadership in AI and technology-driven industries offers excellent internship and job prospects. This program equips students with both technical expertise and a global perspective, shaping future AI leaders.
Category |
Details |
|---|---|
|
Program Name |
B.Tech in Artificial Intelligence |
|
Degree Awarded |
Bachelor of Technology (B.Tech) |
|
Course Duration |
4 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. KRW 5,000,000 – 6,000,000 (USD 3,700–4,400) |
|
Total Tuition Fees |
Approx. KRW 20,000,000 – 24,000,000 (USD 14,800–17,600) |
|
Total Program Cost |
Including tuition, living, and other fees: KRW 40,000,000 – 50,000,000 (USD 29,500–36,800) |
|
Eligibility |
High school diploma or equivalent; strong background in mathematics, physics, and computer science |
|
Admission Requirements |
Academic transcripts, English proficiency (TOEFL/IELTS), recommendation letters, personal statement, entrance exam (if required) |
|
Application Intake |
Fall (September) and Spring (March) |
|
Scholarship |
Merit-based scholarships available for international students; up to 50% tuition reduction depending on GPA and achievements |
|
Career Prospects |
AI engineer, data scientist, machine learning specialist, robotics developer, research scientist, tech consultant |
|
Curriculum Structure |
Core AI subjects (Machine Learning, Deep Learning, Data Analytics, Natural Language Processing), Programming, Mathematics, AI Ethics, Capstone Projects, Internship/Industry Training |
