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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
First Year Total Fees: $ 5000(₹ 400000)
Total Course Fees: $ 10000(₹ 800000)

Why Choose MS in Computer Engineering at Kyungwoon University, South Korea
 

Choosing an MS in Computer Engineering at Kyungwoon University, South Korea, offers students a strong blend of advanced technical education and practical industry exposure. The program emphasizes cutting-edge research in areas like artificial intelligence, embedded systems, and data science, supported by state-of-the-art laboratories and experienced faculty. Located in a rapidly developing tech hub, Kyungwoon University fosters global collaboration and innovation. Students benefit from industry partnerships, internship opportunities, and a multicultural learning environment that prepares them for successful international careers. The university’s focus on creativity, technology, and real-world problem-solving makes it an ideal destination for aspiring engineers.


MS in Computer Engineering at Kyungwoon University, South Korea, Program Details
 

Program Name

MS in Computer Engineering

Degree Awarded

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

Course Duration

2 years (4 semesters)

Language of Instruction

English / Korean

Yearly Tuition Fees

Approx. USD 6,000 – 7,000

Total Tuition Fees

Approx. USD 12,000 – 14,000

Total Program Cost (Including Living Expenses)

Approx. USD 18,000 – 20,000

Eligibility

Bachelor’s degree in Computer Engineering, Electrical Engineering, or related field

Admission Requirements

Application form, academic transcripts, proof of English or Korean proficiency (TOEFL/IELTS or TOPIK), statement of purpose, recommendation letters

Application Intake

Spring (March) and Fall (September)

Scholarship

Merit-based scholarships, tuition reduction for international students, and government scholarships (e.g., GKS)

Career Prospects

Software Engineer, AI Specialist, Network Engineer, Research Scientist, System Analyst, PhD Researcher

Curriculum Structure

Core courses (Advanced Algorithms, Embedded Systems, AI & Machine Learning), Electives, Research Project, Master’s Thesis