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PhD in Computer Engineering

Course Level: Doctorate
Course Duration: 2 Years
Course Language English
Required Degree Master’s Degree
First Year Total Fees: $ 10000(₹ 830000)
Total Course Fees: $ 20000(₹ 1660000)

Why Choose PHD in Computer Engineering at Korea University, South Korea

Choosing a PhD in Computer Engineering at Korea University offers access to world-class research facilities, distinguished faculty, and cutting-edge projects in AI, machine learning, robotics, and more. The university's strong global network fosters collaboration with industry leaders and academic experts. Situated in Seoul, a hub for technology and innovation, Korea University provides students with unique opportunities to engage with top tech companies. Additionally, the university’s strong emphasis on interdisciplinary studies and research ensures a comprehensive, high-impact education, making it an ideal choice for those aiming to make significant contributions to the field of computer engineering.


PHD in Computer Engineering at Korea University, South Korea, Program Details
 

Category

Details

Program Name

PhD in Computer Engineering

Degree Awarded

Doctor of Philosophy (PhD) in Computer Engineering

Course Duration

3 to 5 years

Language of Instruction

English

Yearly Tuition Fees

Approx. 6,000,000 KRW (~$5,000 USD)

Total Tuition Fees

Approx. 18,000,000 KRW (~$15,000 USD)

Total Program Cost

Includes tuition, fees, and living expenses (varies by student lifestyle)

Eligibility

Master's degree in Computer Engineering or related field

Admission Requirements

Transcripts, CV, Statement of Purpose, Letters of Recommendation, Research Proposal, English proficiency (TOEFL/IELTS), GRE (optional)

Application Intake

Typically in March and September

Scholarship

Available (Merit-based, Research Assistantships, etc.)

Career Prospects

Academia, Research Institutions, Tech Companies (e.g., Samsung, LG, Kakao), Startups

Curriculum Structure

Includes core courses, research seminars, dissertation work, and elective courses in areas like AI, machine learning, computer networks, etc.