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MS in Bio & Medical Big Data

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree

Why Choose MS in Bio & Medical Big Data at Gyeongsang National University, South Korea

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.


MS in Bio & Medical Big Data at Gyeongsang National University, South Korea, Program Details
 

Category

Details

Program Name

MS in Bio & Medical Big Data

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)

Total Program Cost

Approx. USD 12,000 – 15,000 (including living expenses)

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)

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

Curriculum Structure

Core courses (Bioinformatics, Big Data Analytics, Biomedical Data Mining), Electives (AI in Medicine, Genomics, Systems Biology), Research Thesis