• # Rating - 4.9 Points
  • # Accomodation #
  • # Scholarship #
  • # Part Time Work #

M.Tech in Computer Engineering

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 4 Year Bachelor’s Degree

Why Choose M.Tech in Computer Engineering at Sungkyunkwan University( SKKU), South Korea

Choosing M.Tech in Computer Engineering at Sungkyunkwan University (SKKU) offers a unique opportunity to study at one of South Korea's top institutions, renowned for its strong academic reputation and innovative research. SKKU provides cutting-edge resources, a modern campus, and a collaborative environment, fostering advanced skills in areas like AI, cybersecurity, and software engineering. With ties to global tech industries and a focus on practical applications, SKKU equips students with the knowledge and expertise needed to thrive in the ever-evolving tech landscape. Moreover, the multicultural experience enhances personal growth and global career opportunities.


M.Tech in Computer Engineering at Sungkyunkwan University( SKKU), South Korea, Program Details
 

Category

Details

Program Name

M.Tech in Computer Engineering

Degree Awarded

Master of Technology (M.Tech)

Course Duration

2 Years

Language of Instruction

English

Yearly Tuition Fees

Approximately 6,000,000 KRW (subject to change)

Total Tuition Fees

Approximately 12,000,000 KRW (for 2 years)

Total Program Cost

Around 15,000,000 KRW (including living expenses)

Eligibility

Bachelor's degree in Computer Science, Engineering, or related fields

Admission Requirements

Application form, transcripts, recommendation letters, English proficiency (TOEFL/IELTS), SOP

Application Intake

Fall (September) and Spring (March) intakes

Scholarship

Various scholarships available based on merit, academic excellence, and financial need

Career Prospects

Opportunities in IT companies, research institutions, startups, and multinational corporations

Curriculum Structure

Core courses, electives, research projects, thesis preparation, specializations in AI, Data Science, Cybersecurity, etc.