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Graduate certificate programs
Graduate certificates are designed to appeal to working professionals, and are open to anyone holding a Bachelor of Science, Master of Science or Ph.D. degree in engineering or a physical science with a minimum of 12 months of professional employment experience or currently accepted into a graduate degree program at Missouri S&T. Certificate courses taken for graduate credit can be counted toward a Master of Science degree once you are accepted into the program.
Graduate Certificates Forms and Deadlines (click here)
- Bachelor of Science in engineering or a physical science
- Completion of undergraduate courses in calculus I, II and III; differential equations; statistics; physics or chemistry; and engineering economy.
- A minimum 2.75 cumulative GPA
- A TOEFL score of 580/237/92 (for international applicants only)
In order to receive a graduate certificate, you must have a minimum 3.0 GPA in the certificate courses.
Designed to provide graduate engineers with the advanced knowledge and skills necessary for the conception and implementation of complex systems, with an emphasis on the processes by which complex systems are conceived, planned, designed, built, tested, and certified.
Joint effort between computer engineering and systems engineering to provide practicing engineers with the necessary skills to develop and design the operation of network centric systems. Network centric systems are frequently "systems of systems" with complex interfaces and interactions.
Provides practicing engineers the opportunity to develop the necessary skills in the use and development of computational intelligence algorithms based on evolutionary computation, neural networks, fuzzy logic, and complex systems theory. Engineers can also learn how to integrate common sense reasoning with computational intelligence elective courses such as data mining and knowledge discovery.
Provides practicing engineers the opportunity to develop the necessary skills in the use of current modeling techniques to develop and simulate complex, multi-disciplinary engineering systems. In addition, engineers will learn methods to automate data acquisition for system development, establish rules for usability of model resources, and acquire necessary skills for simulating the designed systems.