In this curriculum, DSES offers M.S. and M.Eng. degree programs that combine course work in applied probability and statistics, optimization, modeling, and decision sciences in the scientific application of quantitative tools to support decision making. The scope of the programs includes the formulation, solution, and implementation of mathematical models of decision problems to measure, evaluate, and optimize system performance. Most students can complete either program in 30 credit hours. Any student planning to enroll in the DSES doctoral program should consult with the faculty adviser prior to making course selections.
The diversity of this curriculum’s faculty enables these programs to encompass varied research topics. A student may work simultaneously on a master’s degree in this program and on a degree in computer science, business administration, mathematics, computer and systems engineering, or another related area.
Most students participating in this curriculum hold a bachelor’s or master’s degree in engineering, mathematics, the physical sciences, business administration, or management. Students with training in other disciplines such as economics and the social sciences are also encouraged to apply if their quantitative backgrounds include the equivalent of at least three semesters of calculus and linear algebra.
All applicants are required to take the Graduate Record Examination (GRE) except under extenuating circumstances.