Gain a solid foundation in the development and application of mathematical models through this pioneering doctoral program at the Rochester Institute of Technology. Through extensive research, you will develop expertise in using the tools of mathematical modeling, contribute in creative and innovative ways to solving complex interdisciplinary problems, carry out independent research, and learn to communicate effectively with researchers in other fields.

To view a more detailed list of courses for this program, click here.
Rochester Institute of Technology College of Science

Building on core courses, you will craft a customized program of study to map out, in a unified manner, an application-specific curriculum culminating with a Ph.D. dissertation.

Curriculum List

Course Credit Hours by Semester

MATH 602

Numerical Analysis I


MATH 622

Mathematical Modeling I



Mathematical Modeling II



Graduate Research Seminar



Graduate Research Seminar


* Concentration Foundation Courses


High-Performance Computing


* Electives (three credits each)


Dissertation Research


Total Semester Credit Hours


Mathematical modeling has the potential to provide innovative solutions to problems in fields from medicine to climate change. There is a broad need for researchers with sophisticated quantitative skills to develop and expand current and future advances in science and technology. Training to work across two or more disciplines will prepare you for opportunities connecting diverse teams of researchers. 

Industries ranging from data analytics and transportation to medical devices and pharmaceutical development use mathematical modeling to understand new technologies and to forecast events. The mathematical and computational tools you develop will be applicable across a broad range of application fields, allowing you to contribute meaningfully to solving a broad range of problems and to seize new career opportunities as they arise.

Mathematical modeling will prepare you for careers in employment sectors that include corporate research and development, defense laboratories, government agencies, and academe. With training in the emerging discipline of mathematical modeling, you will be positioned to advance emerging technologies in a wide variety of application fields. Your experiences in research and teaching also will prepare you for a productive academic career.

The United States Bureau of Labor Statistics forecasts optimistic employment prospects for those with advanced training in mathematical modeling. It projects employment of mathematicians to grow at 23 percent from 2012 to 2022, a rate much faster than the average for all occupations. It also states that “candidates with a background in advanced mathematical techniques and modeling will have the best job prospects in related occupations.” 

  • Official transcripts
  • Minimum GPA of at least 3.0 in the primary field of study
  • Previous mathematical coursework beyond calculus
  • GRE Exam
  • Two letters of recommendation
  • Personal statement
  • TOEFL/IELTS Exam (international only)
  • Application deadline: January 15 to enter the program in the following fall semester