Designed for students interested in the skills and knowledge required to develop efficient and robust computational tools for imaging sciences, the Imaging Sciences track curriculum is based on four fundamental areas: mathematical models and analysis for imaging sciences and inverse problems; tools and techniques from modern imaging sciences from medicine, biology, physics/chemistry, and earth science; algorithms in numerical methods and scientific computing; and high performance computing skills and architecture oriented towards imaging sciences.  This program serves both as a terminal degree for students who are interested in a professional career in computational imaging sciences and also as a preparation for a higher level degree in imaging research.