| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Choosing an M.Tech in Applied Computer Science at Sejong University, South Korea, offers a unique blend of advanced education and global exposure. The program emphasizes cutting-edge research in AI, data science, and software engineering, fostering practical skills through hands-on projects. Sejong University’s modern labs, experienced faculty, and strong industry connections provide opportunities for internships and collaboration with leading tech companies. Students benefit from South Korea’s vibrant technology ecosystem and innovative culture. Additionally, the university supports international students with scholarships and a multicultural environment, making it an ideal choice for those aiming to excel in applied computer science and global tech careers.
Category |
Details |
|---|---|
|
Program Name |
M.Tech in Applied Computer Science |
|
Degree Awarded |
Master of Technology (M.Tech) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. 5,500,000 KRW (~4,100 USD) |
|
Total Tuition Fees |
Approx. 11,000,000 KRW (~8,200 USD) |
|
Total Program Cost |
Approx. 15,000,000–18,000,000 KRW (~11,000–13,500 USD) including living expenses |
|
Eligibility |
Bachelor’s degree in Computer Science, IT, or related field with a minimum GPA of 2.5/4.0 |
|
Admission Requirements |
Academic transcripts, degree certificate, English proficiency (TOEFL/IELTS), Statement of Purpose, Letters of Recommendation, Resume/CV |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
Merit-based scholarships available covering partial or full tuition; government and university scholarships for international students |
|
Career Prospects |
Software Engineer, Data Scientist, AI/ML Engineer, Researcher, IT Consultant in global tech companies |
|
Curriculum Structure |
Core Courses: Advanced Algorithms, AI, Data Science, Software Engineering; Electives: Machine Learning, Cybersecurity, Cloud Computing; Thesis/Project: Research-based project or industry collaboration; Seminars & Workshops |
