A focus on the study of problems that can be mathematically analyzed and solved, including models for perfecting global positioning systems, analyzing cost-effectiveness in manufacturing processes, or improving digital encryption software.
Using calculus, statistics, algebra, and computer science, statisticians apply their knowledge of statistical methods—the collection, processing, and analysis of data and its interpretation—to a variety of areas, including biology, economics, engineering, medicine, public health, psychology, marketing, and sports.
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.
Harness technology advancements and biomolecular processes to research and develop technologies in genetics, agriculture, pharmaceuticals and vaccine development, environment and energy, forensic science, genetic counseling, and more to improve human health.
Search for and use new knowledge about chemicals to discover, develop, or improve synthetic fibers, paints, adhesives, drugs, cosmetics, electronic components, lubricants, and thousands of other products.
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.
A highly interdisciplinary field that combines aspects of physics, math, computer science, and engineering to understand and develop cutting-edge imaging systems from satellite systems to portable eye trackers to medical imagers to multispectral detectors—anything that involves recording, processing, displaying, or analyzing image data.
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.
Gain an in-depth understanding of the basic principles governing the structure and behavior of matter, the generation and transfer of energy, and the interactions of matter and energy within the world around us.