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MS in Computer Engineering

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree

Why Choose MS in Computer Engineering at Gangneung-Wonju National University, South Korea

Choosing an MS in Computer Engineering at Gangneung-Wonju National University (GWNU), South Korea, offers a unique blend of advanced education and research opportunities. GWNU provides cutting-edge laboratories, experienced faculty, and a focus on emerging technologies like AI, IoT, and cybersecurity. The program emphasizes practical, industry-oriented learning, fostering innovation and problem-solving skills. South Korea’s thriving tech ecosystem and strong industry-academia collaborations create excellent internship and career opportunities. Additionally, the multicultural campus environment enhances global networking. Pursuing an MS at GWNU equips students with both technical expertise and real-world experience, preparing them for successful careers in computing and technology-driven industries.


MS in Computer Engineering at Gangneung-Wonju National University, South Korea, Program Details
 

Category

Details

Program Name

MS in Computer Engineering

Degree Awarded

Master of Science (M.S.) in Computer Engineering

Course Duration

2 years (Full-time)

Language of Instruction

English / Korean

Yearly Tuition Fees

Approx. 4,000 – 5,000 USD

Total Tuition Fees

Approx. 8,000 – 10,000 USD

Total Program Cost

Approx. 12,000 – 15,000 USD (including living expenses)

Eligibility

Bachelor’s degree in Computer Engineering, IT, or related fields

Admission Requirements

Academic transcripts, GRE/TOEFL/IELTS scores (if applicable), Statement of Purpose, Recommendation Letters

Application Intake

Spring (March) & Fall (September)

Scholarship

Merit-based scholarships, government scholarships, research assistantships

Career Prospects

Software Engineer, AI/ML Specialist, Embedded Systems Engineer, Researcher, Data Scientist

Curriculum Structure

Core Courses: Advanced Algorithms, Computer Architecture, Embedded Systems; Electives: AI, IoT, Cybersecurity, Big Data; Thesis/Research Project