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Master in Biomedical Data Science

Singapore

The Master in Biomedical Data Science at Nanyang Technological University Singapore is a 1.0 year long program for international students taught in English.

đź“– Introduction

Nanyang Technological University Singapore, founded in 1991, is a leading global research university serving more than 34,000 students, including an active international community. NTU is renowned for excellence in engineering, science, business and the arts, and combines rigorous academic programmes with world-class facilities and research centres. Its compact, green campus and strong industry links make it an attractive destination for students seeking a dynamic education in the heart of Asia.

NTU offers a focused set of degree programmes supported by interdisciplinary research, experiential learning and partnerships with international institutions and industry. Students benefit from internships, collaborative projects and entrepreneurship support that translate classroom learning into practical outcomes. The university’s global reputation, modern laboratories and vibrant campus life provide a stimulating environment for intellectual growth and professional preparation.

For international applicants, NTU provides dedicated admissions guidance, scholarships and orientation services to ease relocation and integration. Career services and employer engagement are central to the student experience, creating pathways into regional and global job markets. Prospective students who value high-impact research, cross-cultural exposure and strong career prospects will find NTU a compelling choice for study in Singapore.

📚 About the Program

The Master in Biomedical Data Science is a one-year program for students with a Bachelor's degree. It's taught in English at Nanyang Technological University Singapore and leads to a Master's degree. The main advantage of this program is that it helps students develop skills in data analysis for the biomedical field.

The curriculum covers specific subjects like data mining and machine learning. Students develop skills in programming languages and learn to work with large datasets. The program also includes hands-on components, such as projects and case studies, to help students apply their knowledge in real-world situations.

After graduating, students can pursue careers as Biomedical Data Analysts, Clinical Data Managers, or Research Scientists. They can work in hospitals, pharmaceutical companies, or research institutions. Other possible job titles include Data Scientist or Bioinformatics Specialist, and they can be employed by companies like biotech startups or government agencies.

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Tuition

21,537 USD per year

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Service Fee

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