| 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 Korea Advanced Institute of Science & Technology (KAIST) offers a unique opportunity to engage in cutting-edge research in a world-renowned institution. KAIST provides a collaborative environment, combining strong computational and biological sciences, backed by state-of-the-art resources and interdisciplinary expertise. Students have access to top-tier faculty, participate in groundbreaking research, and contribute to solving complex biological problems. With South Korea's thriving biotech and tech sectors, KAIST offers a dynamic ecosystem for innovation, creating unparalleled opportunities for career development and making impactful contributions to the fields of genomics, bioinformatics, and systems biology.
Category |
Details |
|---|---|
|
Program Name |
PhD in Computational Biology |
|
Degree Awarded |
Doctor of Philosophy (PhD) in Computational Biology |
|
Course Duration |
4 to 6 years |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approximately USD 5,000 - 10,000 (varies by program and student status) |
|
Total Tuition Fees |
Approximately USD 20,000 - 60,000 (depends on duration and other factors) |
|
Total Program Cost |
Total cost (including living expenses) can range from USD 40,000 to 100,000 |
|
Eligibility |
Master's degree or equivalent in a relevant field (e.g., Biology, Computer Science, Bioinformatics) |
|
Admission Requirements |
Transcripts, recommendation letters, a research proposal, GRE scores (optional), English proficiency test (TOEFL/IELTS) |
|
Application Intake |
Typically two intakes: Spring (March) and Fall (September) |
|
Scholarship |
KAIST offers competitive scholarships covering tuition and living stipends for eligible students |
|
Career Prospects |
Opportunities in academia, biotech/pharma industry, research institutions, or tech companies in AI, genomics, and bioinformatics |
|
Curriculum Structure |
Core courses in computational biology, bioinformatics, machine learning, and data analysis; research projects, seminars, and thesis work |
