The Master of Science in Biomedical Data Science is the first graduate programme in the Asia-Pacific region offering data science training for specific application in the biomedical domain. The programme is a joint collaboration between Nanyang Technological University (NTU) and the Agency for Science Technology and Research (A*STAR) Singapore.
The curriculum is developed by current practitioners and informed by industry experts in the pharmaceutical, healthcare and tech sectors. Unlike other taught graduate programmes, the curriculum emphasizes on hands-on learning and practical skill acquisition. You will have the opportunity to specialize in any of the 3 tracks: Bioinformatics, Biotechnology or Artificial Intelligence.
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OVERVIEW Bioinformatics is the integration of information science with biology. | OVERVIEW Biotechnology is focused on the development and enhancement of platforms for data generation and systems-based modelling. | OVERVIEW The Artificial Intelligence track is focused on the deployment of machine learning and artificial intelligence towards biomedical and healthcare applications. |
WHAT WILL YOU LEARN?
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| WHAT WILL YOU LEARN?
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Upon graduation, you will be able to
- Demonstrate a deep understanding of applied mathematics and statistics
- Exhibit proficiency in developing and programming Data Science and AI technologies
- Apply these skills meaningfully on real-world problems
One of the programme's unique features include the Biomedical Data Science Immersion Scheme (BMDSIS), a 5 to 6-month research programme where you deepen your domain knowledge in the biosciences via internship with a professor. You also gain the opportunity to apply your skills and develop your maturity as a biomedical data scientist. Depending on the project, this may also lead towards achievements such as deployed software or publications. Such achievements are useful “stamps” that signify ability.
You will need to be enrolled in the biomedical data science masters programme to be eligible for BMDSIS.
Find out more here.
Bioinformatics, Biotechnology, Artificial Intelligence
PROGRAMME TUITION FEES
Please note that this MSc programme is a non-MOE subsidised programme.
August 2024 – 2025 intake | ||||||||||||
Programme Tuition Fee (Full Programme) | Singapore Citizen (SC) | 61,149 | ||||||||||
Singapore Permanent Resident (SPR) | 61,149 | |||||||||||
International Student (IS) | 61,149 | |||||||||||
The Payment Schedule table below summarises the fee payable for respective trimesters.
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REVISED TUITION FEES STRUCTURE (W.E.F. AY26):
Starting from August 2026 intake | ||||||||||||||||||||||||||||||||
Programme Tuition Fee (Full Programme) | Singapore Citizen (SC) | 63,595 | ||||||||||||||||||||||||||||||
Singapore Permanent Resident (SPR) | 63,595 | |||||||||||||||||||||||||||||||
International Student (IS) | 63,595 | |||||||||||||||||||||||||||||||
The Payment Schedule table below summarises the fee payable for respective trimesters.
Note: 2. For information on Miscellaneous Fees, please click here. 3. Programme fees are subject to annual revision. 4. Programme fees payment schedule:
NTU Post-graduate Incentives: All Singaporeans and Permanent Residents: 5. From the academic year starting in 2024, Singaporeans and permanent residents who enrol in self-funded master’s by coursework programmes at NTU will enjoy a $5,000 subsidy, with those in need of financial aid receiving up to $10,000. For academic year starting in 2025, the $5,000 subsidy for Singaporeans and permanent residents will continue to apply. New students enrolled in AY25 in need of financial aid will receive up to $15,000. 6. Needy Singapore Citizens and Singapore Permanent Residents who wish to apply for financial aid may submit their request during the application of the programme for assessment of eligibility. All NTU Alumni: 7. Alumni (Bachelor’s, master’s, and PhD degree) of Nanyang Technological University will enjoy a 10% course fee concession. 8. More information on NTU’s Postgraduate Tuition Fees can be found here. 9. All eligible incentives granted will be disbursed throughout the trimester(s) of the academic year(s) into 3 payments (for Full-time students), and 6 payments (for Part-time students). | ||||||||||||||||||||||||||||||||
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