| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 3 Year Bachelor’s Degree | |
Pursuing an MS in Bio & Medical Big Data at Gyeongsang National University (GNU), South Korea, offers a unique blend of advanced research, innovation, and practical training. The program integrates biomedical sciences with cutting-edge data science, equipping students to analyze complex biological and medical datasets for real-world applications. GNU provides a collaborative research environment, modern facilities, and guidance from expert faculty actively engaged in global projects. Located in a hub of science and technology, students benefit from industry connections and international exposure. This program prepares graduates for impactful careers in healthcare, bioinformatics, pharmaceuticals, and academic research worldwide.
Category |
Details |
|---|---|
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Program Name |
MS in Bio & Medical Big Data |
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Degree Awarded |
Master of Science (MS) |
|
Course Duration |
2 years (4 semesters) |
|
Language of Instruction |
English (with some courses possibly in Korean) |
|
Yearly Tuition Fees |
Approx. USD 3,000 – 4,000 |
|
Total Tuition Fees |
Approx. USD 6,000 – 8,000 (for entire program) |
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Total Program Cost |
Approx. USD 12,000 – 15,000 (including living expenses) |
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Eligibility |
Bachelor’s degree in life sciences, computer science, bioinformatics, or related fields |
|
Admission Requirements |
Completed application, academic transcripts, English proficiency (TOEFL/IELTS), recommendation letters, statement of purpose, CV |
|
Application Intake |
Spring (March) and Fall (September) |
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Scholarship |
Merit-based and government scholarships (e.g., Korean Government Scholarship, GNU scholarships) |
|
Career Prospects |
Careers in bioinformatics, healthcare data analysis, pharmaceutical R&D, academic research, AI-driven medical technologies |
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Curriculum Structure |
Core courses (Bioinformatics, Big Data Analytics, Biomedical Data Mining), Electives (AI in Medicine, Genomics, Systems Biology), Research Thesis |