Mathematical Modeling Doctor of Philosophy (Ph.D.) Degree

Model and solve complex problems across science, business, and engineering with RIT’s Ph.D. in mathematical modeling.


Overview for Mathematical Modeling Ph.D.

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 the mathematical modeling Ph.D. 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.

Plan of Study

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Research

The College of Science consistently receives research grant awards from organizations that include the National Science Foundation, National Institutes of Health, and NASA, which provide you with unique opportunities to conduct cutting-edge research with our faculty members.

Faculty in the School of Mathematics and Statistics conducts research on a broad variety of topics including:

  • applied inverse problems and optimization
  • applied statistics and data analytics
  • biomedical mathematics
  • discrete mathematics
  • dynamical systems and fluid dynamics
  • geometry, relativity, and gravitation
  • mathematics of earth and environment systems
  • multi-messenger and multi-wavelength astrophysics

Learn more by exploring the school’s mathematics research areas.

Featured Work and Profiles

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    RIT graduate pursues Ph.D. across time zones

    Nastaran Nagshineh, a Ph.D. candidate at RIT, successfully bridged the Rochester and Dubai campuses, paving the way for future international students. Nagshineh is one of 67 Ph.D. students who defended their thesis this academic year and who will earn their doctorate.

  • May 8, 2023

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    Squishing the barriers of physics

    Four RIT faculty members are opening up soft matter physics, sometimes known as “squishy physics,” to a new generation of diverse scholars. Moumita Das, Poornima Padmanabhan, Shima Parsa, and Lishibanya Mohapatra are helping RIT make its mark in the field.

Curriculum for 2025-2026 for Mathematical Modeling Ph.D.

Current Students: See Curriculum Requirements

Admissions and Financial Aid

This program is available on-campus only.

Offered Admit Term(s) Application Deadline STEM Designated
Full‑time Fall January 15 priority deadline, rolling thereafter Yes

Full-time study is 9+ semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Mathematical Modeling Ph.D. program, candidates must fulfill the following requirements:

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver.

Duolingo (DET): 140

IELTS: 7.5

PTE Academic: 76

TOEFL: 100

International students below the minimum requirement may be considered for conditional admission. Deaf and hard-of-hearing test takers with significant hearing loss do not need to take the listening and speaking sections for the TOEFL and IELTS. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Ph.D. students typically receive full tuition and an RIT Graduate Assistantship that will consist of a research assistantship (stipend) or a teaching assistantship (salary).

Additional Information

Foundation Courses

Mathematical modeling encompasses a wide variety of scientific disciplines, and candidates from diverse backgrounds are encouraged to apply. If applicants have not taken the expected foundational course work, the program director may require the student to successfully complete foundational courses prior to matriculating into the Ph.D. program. Typical foundation course work includes calculus through multivariable and vector calculus, differential equations, linear algebra, probability and statistics, one course in computer programming, and at least one course in real analysis, numerical analysis, or upper-level discrete mathematics.

Contact

Admissions Contact
  • Laura Watts
  • Senior Associate Director
  • Office of Graduate and Part-Time Enrollment Services
  • Enrollment Management
  • 585‑475‑4901
  • Laura.Watts@rit.edu
Program Contact