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.
- 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
Biomedical Data Science Immersion Scheme (BMDSIS)
To improve your competitiveness, we also ask you to submit a video recording with slides. This is optional.
Yes. However, to ensure fairness, only the component done during the practicum phase will be evaluated.
Bioinformatics, Biotechnology, Artificial Intelligence
For full time students, the minimum period of candidature is 1 year, and the maximum period of candidature is 2 years. For part time students, the minimum period of candidature is 2 years, and maximum period of candidature is 4 years.
25 July 2022 – 21 Oct 2022 (13 weeks)
7 Nov 2022 – 16 Dec 2022 (6 weeks)
Recess week: 19 Dec 2022 – 30 Dec 2022 (2 weeks)
02 Jan 2023 – 17 Feb 2023 (7 weeks)
27 Feb 2023 – 26 May 2023 (13 weeks)
12 AUs Core; 9 AUs Specialization; 9 AUs Project
Essential Machine Learning for Biomedical Science
Essential Programming for Biomedical Science
Techniques in Biomedical Data Mining
Story-telling with Graphics and Visualizations
Deep Learning for Biomedical Science
Essential Bio-statistics and Bio-mathematics
Advanced Computational Thinking for Biomedical Data Science
Advanced Artificial Intelligence for Biomedical Data Science
Biological Big Data
Biological Sequence Analysis
Biomolecular structures: modelling and design
Select any one specialization module from AI track
Drug Discovery and Development Technologies
High Throughput Technologies and Imaging
Synthetic and Systems Biology
- Assessment for each module will be based on a final exam and/or continuous assessment which should nominally involve practical (mini project) components.
- The practicum will be supervised by faculty members with inputs from industrial collaborating partners (where applicable). Assessment is performed by supervisor and an examiner based on a final project report and presentation.
Graduates may retool towards data-analytics or technology-oriented roles in their home companies or pursue further specialization and training in academia. These skillsets are not relevant to merely biomedical research and healthcare, and are highly sought after in other sectors such as banking and finance, energy, government, transport, etc. Experienced graduates may eventually move into strategic planning and decision-making roles using data-centric approaches.
In addition, we will also facilitate project placements in industry and government sectors. Tie-ups with data science training and placement companies e.g. UpLevel, will help you ensure that you get the best possible exposure and training opportunities.
Upon acceptance of offer
Year 1, start of Trimester 1
Year 1, start of Trimester 2
Year 2, start of Trimester 1
*All fees are inclusive of GST