Computation for Design and Optimization
Intensive Computation for Design and Optimization has become an essential activity in such diverse areas as telecommunications, imaging, guidance/control, the Internet, aerospace design, micromachined devices, distribution networks, traffic management, air transport, web-based retailing, the electric power grid, and manufacturing scheduling. Effective computation produces shorter design cycle times, higher-quality products, and improved functionality.
CDO plays a vital role in today's global industrial economy. The National Academy of Sciences predicts that in the next decade, the demand for engineers who are literate in computational sciences will grow significantly. In both the near-term and long-term future, engineers, scientists, and managers will be expected to efficiently and reliably design and optimize the performance of complex systems. A recent report issued by the President's Information Technology Advisory Committee states that "Computational science – the use of advanced computing capabilities to understand and solve complex problems – has become critical to scientific leadership, economic competitiveness, and national security."
The CDO program is aimed simultaneously at two related audiences:
-Students who seek a terminal professional Master's degree before entering the technology workforce
-Current or future doctoral students in engineering and/or science for whom the CDO curriculum is an important adjunct to their research program
MIT is accredited by the New England Association of Schools and Colleges, Inc.
International Student Requirements:
TOEFL minimum score of 600 (250 for computer-based, 100 for internet-based)
Facts & Figures
Classification: Doctoral/Research University—Extensive
Locale: Midsize City
Size & Settings: 10,000-19,999