PhD in Mathematical Modeling in Rochester United States | Rochester Institute of Technology

Mathematical modeling involves creating mathematical representations of real-world systems. These models may be linear or nonlinear, discrete or continuous, deterministic or probabilistic, and static or dynamic, allowing for examination, analysis, and forecasting of system behaviors across diverse disciplines. After rigorous study, graduates of the mathematical modeling Ph.D. program will possess the skills to apply modeling techniques in practical contexts while also innovatively solving complex cross-disciplinary challenges and collaborating effectively with specialists from various domains.
The program mandates a minimum of 60 credit hours combining coursework and research. The curriculum includes three core courses, three foundational concentration courses, a scientific and high-performance computing (HPC) course, three electives aligned with the student's research focus, and a doctoral thesis. Electives can be selected from the School of Mathematics and Statistics or other RIT graduate programs, offering specialized options for specific research needs. A minimum of 30 coursework credits is required, supplemented by at least 30 research credits involving the Graduate Research Seminar and an external interdisciplinary internship.

Students craft their academic path with guidance from an advisory committee comprising the program director, a concentration lead, and a domain expert relevant to their research focus. This committee helps tailor each student's degree progression according to their background and objectives, with flexibility for adjustments. Discover more about our doctoral candidates in mathematical modeling and explore departmental seminar offerings.