| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 7000(₹ 580000) | |
| Total Course Fees: | $ 14000(₹ 1160000) | |
Kyung Hee University (KHU), Seoul Campus, offers an excellent environment for pursuing a PhD in Computer Science, combining world-class research facilities with innovative academic programs. KHU is globally recognized for its strong emphasis on interdisciplinary research, fostering collaboration across artificial intelligence, data science, cybersecurity, and emerging technologies. Students benefit from distinguished faculty, state-of-the-art laboratories, and opportunities for international collaboration. Located in Seoul, a hub of technological advancement and global connectivity, KHU provides an ideal setting for academic growth and industry partnerships. The university’s supportive research ecosystem and scholarships make it an outstanding choice for advancing a career in computer science.
Category |
Details |
|---|---|
|
Program Name |
PhD in Computer Science |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Computer Science |
|
Course Duration |
3–4 years (depending on research progress) |
|
Language of Instruction |
English / Korean (many courses and research guidance available in English) |
|
Yearly Tuition Fees |
Approx. 7,000–9,000 USD (varies by semester and department) |
|
Total Tuition Fees |
Approx. 21,000–36,000 USD (for 3–4 years, before scholarships) |
|
Total Program Cost |
Includes tuition, living expenses (~10,000 USD/year in Seoul) |
|
Eligibility |
Master’s degree in Computer Science or related field, strong academic record |
|
Admission Requirements |
Research proposal, academic transcripts, recommendation letters, CV, English proficiency (TOEFL/IELTS) or Korean (TOPIK), interview |
|
Application Intake |
Twice a year (Spring: March intake, Fall: September intake) |
|
Scholarship |
Various scholarships (e.g., Professor-funded RA/TA positions, KGSP, university merit scholarships) often covering tuition + stipend |
|
Career Prospects |
Academic faculty positions, AI and data science research, software R&D, tech industry roles, international research labs |
|
Curriculum Structure |
Core coursework (advanced computer science topics), elective seminars, research methodology, dissertation research and defense |
