School of Mathematical Sciences

Overview

The School of Mathematical Sciences is recognized for its contributions to research and applications of mathematical and statistical science, and it’s also known for expertise in mathematical and computational modeling, data science, and scientific inference. Since mathematics is at the root of many social, technical, medical, and environmental issues faced by society today, we equip our graduates with a deep understanding of mathematical and statistical principles, tools to apply those skills to real-world problems, and the ability to express complex ideas in everyday language. We provide our students with research and experiential learning opportunities and nurture curiosity and creativity.

1st

Mathematical modeling Ph.D. program in the nation

3:1

Student-to-faculty ratio

2

NSF Funded Research Experiences for Undergraduates (REU) Programs

Latest News

  • November 8, 2019

    Simulation of an accretion disk surrounding a supermassive black hole.

    New study suggests ‘Pac-Man-like’ mergers could explain massive, spinning black holes

    Scientists have reported detecting gravitational waves from 10 black hole mergers to date, but they are still trying to explain the origins of those mergers. The largest merger detected so far seems to have defied previous models because it has a higher spin and mass than the range thought possible. A group of researchers, including RIT Assistant Professor Richard O’Shaughnessy, has created simulations that could explain how the merger happened.

  • September 9, 2019

    Mary Lynn Reed

    Mary Lynn Reed appointed head of RIT’s School of Mathematical Sciences

    Reed joins RIT following a 19-year career at the National Security Agency, where she most recently served as the chief of the Mathematics Research Group from 2016 to 2019. An accomplished mathematician, Reed has been recognized with the Presidential Rank Award of Meritorious Senior Professional and the NSA Director’s Distinguished Service Medal.

Featured Work

Undergraduate Programs

The School of Mathematical Sciences provides a solid collegiate math education to every RIT undergraduate and offers high-level specializations such as statistical forecasting, digital encryption, and mathematical modeling. We prepare our graduates to be successful, whether they choose immediate employment upon graduation or to attend graduate school in pursuit of advanced degrees.

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.

Learn More about Applied Mathematics BS 

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.

Learn More about Applied Statistics and Actuarial Science BS 

An emphasis on using computers as tools to solve mathematically modeled physical problems in business, science, engineering, and more.

Learn More about Computational Mathematics BS 

Graduate Programs

The School of Mathematical Sciences equips its graduates with a deep understanding of math principles, a toolbox for applying those skills to real-world problems, and the ability to easily express complex ideas. Our graduate programs introduce students to rigorous advanced applied mathematical and statistical methodology. Students realize the potential for that cutting-edge methodology as a general tool in the study of exciting problems in science, business, and industry.

Create innovative computing solutions, mathematical models, and dynamic systems to solve problems in industries such as engineering, biology, and more.

Learn More about Applied and Computational Mathematics MS 

Engineers, analysts, and other professionals can develop a deeper understanding of the statistical methods related to their fields.

Learn More about Applied Statistics Adv. Cert. 

Apply the skills learned in statistical analysis to a variety of industries, including insurance, marketing, government, health care, and more.

Learn More about Applied Statistics MS 

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.

Learn More about Mathematical Modeling Ph.D. 

Minor and Immersions

The applied statistics minor provides an opportunity for students to deepen their technical background and gain further appreciation for modern mathematical sciences and the use of statistics as an analytical tool.

Learn More about Applied Statistics Minor 

The mathematics minor is designed for students who want to learn new skills and develop new ways of framing and solving problems. It offers students the opportunity to explore connections among mathematical ideas and to further develop mathematical ways of thinking.

Learn More about Mathematics Minor 

Student Resources

Here you will find additional resources for the School of Mathematical Sciences, such as student handbooks, tutoring, workshops, etc.

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