Curriculum: Research degree comprised of advanced technical coursework and a thesis (MS) in a chosen discipline. Professional Interests: Research or technology development in industry or government. Ideal Candidates: Seeking a career in a research environment or want to use a master's program as preparation to apply for a doctoral program Interested in working in areas such as technology development and product design Willing to work in interdisciplinary research groups to gain practical research skills Interested in co-authoring published research and presenting to professional peers Dynamic Systems, Uncertainty, and Optimization Dynamics are prevalent in the mechanics of diverse engineered and natural systems and system failures often depend on factors that can only be estimated with considerable uncertainty. The engineering (or optimization) of failure mitigation measures therefore re- quires modeling the transient dynamic aspects of failure mechanisms, the uncertainties in system capacities and, importantly, the uncertainties in system loading. This graduate con- centration focuses on modern methods of dynamic systems analysis, numerical modeling, and parallel computing: tools that can be used to quantify risks with unprecedented realism. The curricular program leverages premier courses in the core disciplines of applied mathematics, numerical methods, uncertainty modeling, and mechanics.