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PhD in Computer Science & Engineering

Course Level: Doctorate
Course Duration: 2 Years
Course Language English
Required Degree Master’s Degree
First Year Total Fees: $ 5000(₹ 375000)
Total Course Fees: $ 10000(₹ 750000)

Why Choose PhD in Computer Science & Engineering at Kangwon National University (Chuncheon Campus), South Korea

Choosing a PhD in Computer Science & Engineering at Kangwon National University (Chuncheon Campus) offers a unique opportunity for advanced research in a diverse, globally competitive environment. The university is equipped with state-of-the-art facilities, fostering innovation and collaboration across various fields of computing. Students benefit from strong academic mentorship, contributing to cutting-edge research in AI, machine learning, and cybersecurity. Additionally, Chuncheon’s beautiful natural surroundings provide a peaceful and focused environment for study. The program’s international perspective and connections with industries in Korea offer excellent career prospects and research opportunities.


PhD in Computer Science & Engineering at Kangwon National University (Chuncheon Campus), South Korea, Program Details
 

Category

Details

Program Name

PhD in Computer Science & Engineering

Degree Awarded

PhD in Computer Science & Engineering

Course Duration

3 to 5 years

Language of Instruction

English and Korean (depending on course content)

Yearly Tuition Fees

Approximately 3,000,000 KRW (varies)

Total Tuition Fees

Approximately 9,000,000 - 15,000,000 KRW

Total Program Cost

Around 9,000,000 - 15,000,000 KRW (excluding living expenses)

Eligibility

Master’s degree or equivalent in Computer Science, Engineering, or related fields

Admission Requirements

Research proposal, academic transcripts, recommendation letters, language proficiency (TOEFL/IELTS)

Application Intake

Fall (September) and Spring (March) intakes

Scholarships

Available based on merit, research, and financial need

Career Prospects

Researcher, Academic positions, Software Engineer, Data Scientist, AI Specialist, and roles in both academia and industry

Curriculum Structure

Core courses in advanced computer science topics, research methodology, thesis research, electives in specialized areas like AI, Machine Learning, Cybersecurity, etc.