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Further your background and expertise with a PhD in modeling and simulation. This is a rigorous research program designed to train individuals for careers in teaching and research in the public or private sector. Students will have the opportunity to work with our faculty on research projects and gain experience solving real world problems.
Modeling and Simulation Engineering is creating a design or hypothesis and testing it in real-world conditions through: Graphical and Mathematical Models, Virtual Reality Simulations, Serious Gaming, Computer Programming, 3-D Printed Models, Statistical Analysis
Internships in areas related to the program are available
Students are encouraged to assist with faculty research projects and to present their own research at regional, national and international professional communication associations
Opportunities to develop study abroad programs are available
An introduction to the modeling and simulation discipline. Introduction to discrete event simulation |DES) including simulation methodology, input data modeling, output data analysis, and an overview of DES tools. Introduction to continuous simulation |CS) including simulation methodology, differential equation models, numerical solution techniques, and an overview of CS tools. Prerequisites: graduate standing; undergraduate preparation in calculus and probability and statistics; and computer literacy.
The course provides a practical treatment of computer graphics and visualization with emphasis on modeling and simulation applications. It covers computer graphics fundamentals, visualization principles, and software architecture for visualization in modeling and simulation. Pre- or corequisites: CS 250 and MSIM 603.
The goal of this course is to develop understanding of the various modeling paradigms appropriate for capturing system behavior and conducting digital computer simulation of many types of systems. The techniques and concepts discussed typically include UML, concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, etc. Students will report on a particular technique and team to implement a chosen system model. (cross-listed with ECE 510)
Students entering the Certificate program in Modeling & Simulation Engineering should meet the minimum university admission requirements (Graduate Admission)
The Graduate Certificate in Modeling and Simulation is designed for those with engineering and computer science related backgrounds who wish to broaden their knowledge of modeling and simulation related principles and practices without pursuing a graduate degree. This is a 12 credit hour non-degree program offered by the Department of Modeling Simulation and Visualization Engineering. The graduate certificate program is open to both degree-seeking and non-degree-seeking graduate students. Courses taken for the certificate program may later be applied to a master's degree in modeling and simulation.
Undergraduate degree from a regionally accredited institution
Mathematical background through calculus, along with a calculus based probability and statistics course
Submit a graduate non-degree application through the Office of Admissions
Submit a departmental application with copies of unofficial transcripts from all previous coursework to the MSVE Department
Estimated rates for the 2021-22 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Our enrollment coordinators are ready to help you through the admissions process.
1318 ENGR & COMP SCI BLDG, NORFOLK, VA, 23529
1000 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529