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SMA Logo & Rationale
Front Cover Design
Vision & Mission
Committee Members & Directors
Programme Co-Chairs
Particpation by Industry & NRIs
Job Placement
Faculty & Staff
Students & Alumni
  SMA-1 Programmes  
  Innovation in Manufacturing Systems and Technology (IMST)  
  Molecular Engineering of Biological and Chemical Systems (MEBCS)  
  Computer Science (CS)  
  SMA-2 Programmes  
  Advanced Materials for Micro- and Nano-Systems (AMM&NS)  
  Computational Engineering (CE)  
  Manufacturing Systems and Technology (MST)  
  Computation and Systems Biology (CSB)  
Programmes Descriptions
  SMA-2 Programmes


Computation and Systems Biology (CSB)

The CSB degree programme is a partnership between the
world-recognised Computational and Systems Biology Initiative
(CSBi) programme at MIT and the visionary biology, bioengineering, and biotechnology programmes at NUS, NTU and the A*STAR Research Institutes.

Students with backgrounds in biology (with strong mathematics skills), physics, chemistry, mathematics, computer science, or engineering are encouraged to apply. Students must be attracted to the inter-disciplinary nature of the CSB degree programme and have a strong interest in systems and computational approaches to stem cell and tissue biology. Students accepted into the CSB track will take a selection of modules offered in Singapore and MIT, including five MIT/CSBi courses beamed live from MIT — a signature feature of the high degree of integration between the Singapore and MIT/CSBi Ph.D. courses. The CSB programme courses will cover topics in computational biology, systems biology, genomics, proteomics and imaging theory and technology, some of which will be team-taught by faculty members from Singapore and MIT. As part of the CSB degree programme, concepts emphasised in the classroom will be applied in research projects that are closely linked to the education programme.

CSB research projects will focus on the development of advanced technologies in biological probes, imaging and computational biology, and the application of these technologies to medically relevant problems in tissue biology, including stem cell differentiation, tissue morphogenesis, infectious disease models and tissue physiology.


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