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 programme duration is one year (maximum two years) for full-time studies. Students enrolled for part-time studies may complete this over a period of two years (max four years). 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.
Assessment and Exams
- 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.
What is BMDSIS?
The biomedical data science immersion scheme (BMDSIS) is a 6 to 8-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.
Currently, you need to be enrolled in the biomedical data science masters programme to be eligible for BMDSIS. However, we will also consider masters students from relevant competitive programmes in NTU on a case-by-case basis (for example, Master of Science in Analytics or Master of Science in Artificial Intelligence).
Who should apply?
- Local and international fresh graduates and working adults who have degrees in the bio-sciences, or with exposure / interest towards bio-related industries or applications.
- Computing and engineering graduates seeking to expand their skillset and knowledge base in biotechnology or bioinformatics.