Explore the depths of the universe through multidisciplinary research as you dive into an area that most interests you, whether it be general relativity, theoretical astrophysics, observational or instrumentation development, or another area related to astrophysics.
There has never been a more exciting time to study the universe beyond the confines of the Earth. A new generation of advanced ground-based and space-borne telescopes and enormous increases in computing power are enabling a golden age of astrophysics. The doctoral program in astrophysical sciences and technology focuses on the underlying physics of phenomena beyond the Earth and on the development of the technologies, instruments, data analysis, and modeling techniques that will enable the next major strides in the field. The program's multidisciplinary emphasis sets it apart from conventional astrophysics graduate programs at traditional research universities.
Color has been an intense topic of interest for thousands of years. Mathematicians, philosophers, physicists, physiologists, poets, and other disciplines have all contributed to our understanding of color. RIT’s color science Ph.D. program allows you to contribute to knowledge creation and practical application of color science. You will conduct extensive research that encompasses diverse fields and multiple disciplines of science. The program is designed for students whose undergraduate degrees are in physics, biology, chemistry, mathematics, computer science, engineering, neuroscience, experimental psychology, imaging, or any applied discipline pertaining to the quantitative description of color.
Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields. Through extensive study and research, graduates of this program will have the expertise not only to use the tools of mathematical modeling in various application settings, but also to contribute in creative and innovative ways to the solution of complex interdisciplinary problems and to communicate effectively with domain experts in various fields.