Grad Prog - Masters Bio Data Science

Master of Science in Biomedical Data Science

Master (Coursework)

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Programme Type

Full-time

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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. 

A summary of 3 tracks offered by Biomedical Data Science
Upon graduation, you will be able to 

  1.  Demonstrate a deep understanding of applied mathematics and statistics 
  2.  Exhibit proficiency in developing and programming Data Science and AI technologies 
  3. 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. 

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). 

Find out more here.

Bioinformatics, Biotechnology, Artificial Intelligence 

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For an overview of the programme structure and curriculum, please visit here.

For the programme's academic calendar, click here.

For an overview of the programme structure and curriculum, please visit here.
    For details on the programme's career prospects, visit here. 
    To find out more about the programme fees, click here.