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  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

 
 

Computational Engineering (CE)

The CE degree programme is a collaborative between MIT, NUS, NTU, and IME, Institute of High Performance Computing (IHPC), and Defence Medical & Environmental Research Institute (DMERI). It is one of the most technologically advanced and critically acclaimed computational engineering programmes available in the world today.

Intensive computation for simulation and optimisation has become an essential activity in both the design and operation of engineered systems, where the terminology “engineered systems” includes complex systems in engineering science as well as man-made systems for which simulation, optimisation and control are critical to system success. In applications as diverse as aircraft design, materials design and micro-machined device design optimisation engineers need computationally-tractable modelling systems that predict and optimise system performance in a reliable and timely manner. Effective computation allows for shorter design cycle times, better product quality and improved functionality. One cannot overstate the importance of computational engineering and optimisation in the global industrial economy, particularly as the systems we use grow more necessary and more complex. Revenues from simulation and optimisation software products for such systems are only in the billions of dollars, but the overall economic impact of these tools is trillions of dollars. We expect that the next decade will experience an explosive growth in the demand for accurate and reliable numerical simulation and optimisation of engineered systems. CE will become even more multi-disciplinary than in the past.

The customised numerical algorithms in the latest generation of commercial engineering design software point to a significant trend: researchers and professionals in computational engineering need a strong background in sophisticated numerical simulation and optimisation, but must also be skilled in marrying the application formulation to the numerical methodology. The ever-accelerating rate at which new technology becomes available creates the additional demand that computational engineers be discipline-flexible in their skills, for while numerical methodology is of growing importance, a major demand still lies in providing tools for overcoming the manufacturing yield issues that have hindered Bio-MEMS commercialisation.

Our educational programme combines applied general methodology courses, discipline-specific electives and industrial experience in a manner that, concurrently trains professionals for industry while preparing doctoral students to participate in the flagship and inter-university research projects. The CE programme is focused on educating professionals who will model, simulate, optimise and design the important engineered systems of the next decade.

 

 
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