| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
Choosing an MS in Systems Biomedical Sciences at Korea University offers a world-class education at one of South Korea’s top institutions. The program integrates biomedical sciences with cutting-edge systems biology, equipping students to analyze complex biological networks and advance personalized medicine. With state-of-the-art research facilities, interdisciplinary collaboration, and mentorship from leading experts, students gain both theoretical knowledge and practical skills. Korea University’s strong global partnerships open opportunities for international research and career advancement. Located in Seoul, a hub of innovation, the program provides an ideal environment for aspiring researchers to contribute to transformative biomedical discoveries and healthcare solutions.
Category |
Details |
|---|---|
|
Program Name |
MS in Systems Biomedical Sciences |
|
Degree Awarded |
Master of Science (M.S.) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English (some courses may be in Korean) |
|
Yearly Tuition Fees |
Approx. USD 6,000 – 7,000 |
|
Total Tuition Fees |
Approx. USD 12,000 – 14,000 (for 2 years) |
|
Total Program Cost |
Around USD 15,000 – 18,000 (including living expenses) |
|
Eligibility |
Bachelor’s degree in life sciences, biomedical sciences, or related field |
|
Admission Requirements |
Online application, transcripts, degree certificate, English proficiency (TOEFL/IELTS), research statement, recommendation letters, CV |
|
Application Intake |
Spring (March) and Fall (September) |
|
Scholarship |
KU Graduate Scholarships, Global KU Scholarship, Government (KGSP), Research Assistantships |
|
Career Prospects |
Biomedical researcher, pharmaceutical industry, healthcare data analyst, PhD studies, biotech R&D, academic teaching |
|
Curriculum Structure |
Core courses (Systems Biology, Biomedical Data Analysis), Electives (Genomics, Proteomics, Computational Biology), Research seminars, Thesis |
