Through lectures, readings, and projects, this course imparts the fundamental concepts of decision science and analytics in the context of Systems Engineering. Topics include objectives hierarchies, influence diagrams, measures of effectiveness, measures of performance, morphological analysis, methods for mitigating combinatorial explosion, Pareto frontiers, sensitivity analyses, uncertainty analyses, information visualizations, and multiple objective selection methods. The course is not intended to provide students with extensive training in particular software packages. However, hands-on computer laboratory sessions re-enforce critical concepts.