Contact for More Information
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Haesun Park
Assoc. Chair of Graduate Studies
CSE Divistion
College of Computing
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A master of science degree in Computational Science and Engineering (CSE) is being offered beginning in the fall 2007.
This interdisciplinary degree is offered by the colleges of Computing, Engineering and Sciences. Participating units from these colleges include the Computational Science and Engineering Division; Department of Biomedical Engineering; and schools of Aerospace Engineering, Civil and Environmental Engineering, Industrial and Systems Engineering, Biology, Chemistry and Biochemistry, and Mathematics.
The program is proposed as a full- or part-time day program, with the option for portions or, in some instances, all of the coursework to be taken off-campus via Georgia Tech's Distance Learning and Professional Education office.
The curriculum has been structured to impart students with solid CSE foundational knowledge and skills, and includes technical specialization courses that enhance a student's domain expertise. Advanced elective courses will enable students to specialize in a domain and technical expertise focusing on their particular interests. The optional thesis portion of the program requires completion of an interdisciplinary research project.
Exposure to other disciplines teaches students how common CSE concepts are utilized and applied in different domains. This approach promotes collegiality, creates a common vocabulary and opens doors to interdisciplinary collaborative efforts.
CSE is devoted to the systematic study of computer-based models of natural phenomena and engineered systems. It has become accepted as the third mode of discovery, along with theory and experimentation, in the advancement of scientific knowledge and engineering practice.
Computation routinely supplements and, in some cases, replaces experimentation. Computational models are used routinely in virtually all fields of science and engineering to better understand systems and phenomena as large as the universe, or as small as microelectronic circuits and nanomaterials. Computational models are used to create everyday products ranging from safer, more fuel-efficient automobiles to potato chips that are aerodynamically designed to minimize product loss as they travel down conveyor belts.
The advent of computation as a central means for exploration and discovery has created a strong demand for CSE professionals that is expected to last at least through the next decade. Longer term, technological advances in the computing industry will facilitate more complex and sophisticated uses of computation in science and engineering. In many fields, extensive use of computation is considered key to maintaining global competitiveness. Also, since computing and communication technologies will only improve in the future, it is quite reasonable to believe that the demand for trained CSE personnel will continue to increase.
CSE master's students will be well prepared for work in software systems engineering, web technologies, software for consumer product and drug design, financial engineering, and many more industries. In government, graduates may pursue work in software and systems, modeling and simulation, systems integration, data mining and visualization, high-performance computing, and computational modeling. Academic career possibilities include research and education in departments concerned with the development and application of computational models in engineering, the sciences and computing.
