| Course Level: | Doctorate | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | Master’s Degree | |
| First Year Total Fees: | $ 7200(₹ 560000) | |
| Total Course Fees: | $ 14400(₹ 1120000) | |
Choosing a PhD in Computational Biology at Jeju National University (Ara Campus), South Korea, offers a unique blend of advanced research and interdisciplinary learning. The program emphasizes cutting-edge computational methods to address complex biological problems, from genomics to systems biology. Students benefit from access to state-of-the-art laboratories, high-performance computing resources, and collaborative projects with leading researchers. Jeju’s serene environment fosters focused study and innovation, while the university’s strong international network supports global research opportunities. Graduates gain expertise highly sought in academia and industry, preparing them for impactful careers in bioinformatics, personalized medicine, and biotechnology.
Category |
Details |
|---|---|
|
Program Name |
PhD in Computational Biology |
|
Degree Awarded |
Doctor of Philosophy (PhD) |
|
Course Duration |
3–5 years (full-time) |
|
Language of Instruction |
English (primarily) / Korean (optional courses) |
|
Yearly Tuition Fees |
Approx. 4,000,000 – 5,000,000 KRW (~$3,000–$4,000 USD) |
|
Total Tuition Fees |
Approx. 12,000,000 – 20,000,000 KRW (~$9,000–$16,000 USD) |
|
Total Program Cost |
Including living expenses, ~25,000,000 – 40,000,000 KRW (~$18,000–$32,000 USD) |
|
Eligibility |
Master’s degree in Biology, Bioinformatics, Computer Science, or related fields |
|
Admission Requirements |
Transcript, Statement of Purpose, Recommendation Letters, Research Proposal, English proficiency (TOEFL/IELTS), Interview |
|
Application Intake |
Typically Fall semester (September) |
|
Scholarship |
University scholarships, research assistantships, government-funded programs (tuition + stipend) |
|
Career Prospects |
Bioinformatics researcher, computational biologist, data scientist in biotech/pharma, academic faculty |
|
Curriculum Structure |
Core courses (Computational Biology, Systems Biology, Genomics), Electives (Machine Learning, Data Analysis), Lab Rotations, Research Seminars, Dissertation Research |
