Mathematical Modeling PhD
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.
- Approximately 17 students are enrolled in this program
Cooperative Education & Experiential Education Component
- Co-op is mandatory for this program.
- Minimum co-op requirement: a part of the curriculum
- Co-op availability: fall through summer
Salary InformationCo-op: ID
Student Skills & CapabilitiesMathematical Modeling, Scientific Computing, Numerical Analysis, Computational Modeling, Applied Mathematics, Statistics, Sensitivity Analysis, Dynamical Systems, Mathematical Biology, Discrete Mathematics, Fluid Dynamics, Inverse Problems, Uncertainty Quantification, High-performance Computing.
- Students integrate data with models, devising and implementing algorithms, analyzing and interpreting solutions, making and justifying predictions, and communicating with experts in other areas.
- The program integrates applied mathematics with scientific and high-performance computing, and is interdisciplinary.
- Teams of students are available as consultants to solve challenging issues for companies and organizations during the academic year.
Selected Employer Hiring PartnersID
Contact UsWe appreciate your interest in RIT co-op, graduating students or alumni. We will make every effort to make your recruiting endeavor a success. Call our office and ask to speak with Kris Stehler, the career services coordinator who works with the Mathematical Modeling Ph.D. program. For your convenience, you can access information and services through our web site at www.rit.edu/recruit.
Rochester Institute of Technology . Office of Career Services and Cooperative Education
Bausch & Lomb Center . 57 Lomb Memorial Drive . Rochester NY 14623-5603