| Course Level: | Bachelor's | |
|---|---|---|
| Course Duration: | 4 Years | |
| Course Language | English | |
| Required Degree | Class 12th | |
Choosing a B.Sc. in Computer Science and Engineering at Sungkyunkwan University (SKKU) offers students a world-class education backed by cutting-edge research and technology. SKKU, one of South Korea’s top universities, provides a dynamic learning environment with state-of-the-art facilities, international collaborations, and a strong industry network. The program blends theoretical knowledge with practical skills, preparing graduates for leadership roles in tech innovation. Students benefit from exposure to Korea's booming tech industry and gain access to diverse career opportunities, making SKKU an ideal choice for those seeking a globally competitive education in computer science and engineering.
Category |
Details |
|---|---|
|
Program Name |
B.Sc. in Computer Science and Engineering |
|
Degree Awarded |
Bachelor of Science (B.Sc.) in Computer Science and Engineering |
|
Course Duration |
4 years |
|
Language of Instruction |
English and Korean |
|
Yearly Tuition Fees |
Approx. 6,000,000 KRW (subject to change) |
|
Total Tuition Fees |
Approx. 24,000,000 KRW (subject to change for 4 years) |
|
Total Program Cost |
Approx. 30,000,000 KRW (includes living expenses, housing, etc.) |
|
Eligibility |
High school diploma or equivalent; strong background in mathematics and science |
|
Admission Requirements |
Application form, academic transcripts, recommendation letters, proof of English proficiency (TOEFL/IELTS), personal statement, interview |
|
Application Intake |
Fall intake (typically September) |
|
Scholarship |
Merit-based scholarships, need-based financial aid, and international student grants available |
|
Career Prospects |
Software developer, data scientist, network engineer, AI researcher, IT consultant, tech entrepreneur, roles in multinational tech companies, research labs, and startups |
|
Curriculum Structure |
Core courses: Algorithms, Data Structures, Computer Networks, Software Engineering, Operating Systems, Databases, AI, Machine Learning, and elective courses based on specialization. Practical labs and projects are incorporated. |
