Biomedical Data Science Nanyang Technological University

Overview

The Master of Science in Biomedical Data Science at Nanyang Technological University (NTU) stands out as the first graduate programme in the Asia-Pacific region to offer specialised data science training in the biomedical sector. This innovative programme is a collaborative effort between NTU and the Agency for Science, Technology and Research (A*STAR) in Singapore, ensuring that students receive a curriculum that is not only comprehensive but also informed by industry leaders.

NTU is consistently ranked among the top universities globally, renowned for its commitment to research and innovation. The university's strong partnerships with industry leaders in the pharmaceutical, healthcare, and technology sectors enrich the learning experience, providing students with insights into current trends and practices. Additionally, NTU boasts state-of-the-art facilities that support hands-on learning and research, making it an ideal environment for aspiring biomedical data scientists.

The tuition fees for the Master of Science in Biomedical Data Science are as follows:

• International Fee: SGD 61,149 per full programme
• National Fee: SGD 61,149 per full programme

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum of the programme is meticulously crafted by practitioners and industry experts, focusing on practical skills and real-world applications. Students can specialise in one of three tracks:

• Bioinformatics
• Biotechnology
• Artificial Intelligence

A distinctive feature of the programme is the Biomedical Data Science Immersion Scheme (BMDSIS), which offers a 5 to 6-month research internship with a faculty member, allowing students to deepen their expertise and potentially contribute to published research or deployed software.

Graduates of the Master of Science in Biomedical Data Science are well-equipped for various roles across multiple sectors. They possess a robust understanding of applied mathematics and statistics, along with proficiency in developing and programming data science and AI technologies. Alumni have successfully secured positions in leading organisations within the pharmaceutical and healthcare industries, where they apply their skills to tackle complex challenges and drive innovation.