School of Mathematical Sciences | College of Science

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.

1^st

Mathematical modeling Ph.D. program in the nation

3:1

Student-to-faculty ratio

NSF Funded Research Experiences for Undergraduates (REU) Programs

Latest News

May 10, 2019

What happens when a raindrop hits a puddle?

Guest essay by Nate Barlow, assistant professor of mathematical sciences, published by The Conversation.
April 19, 2019

RIT professor created simulation that could help treat heart patients

WROC-TV features Elizabeth Cherry, associate professor and director of the mathematical modeling program.
April 12, 2019

It’s beach clean-up season! When and where to help Lake Erie

Cleveland.com cites research by Matthew Hoffman, associate professor of applied and computational mathematics, and Eric Hittinger, associate professor of public policy.

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Featured Work

hands holding colorful 3D-printed squares

3D Models of Math Equations

Nate Barlow and Steve Weinstein

Assistant Professor Nate Barlow and Professor Steve Weinstein made 3D-printed models of mathematical equations to illustrate wave systems and other fluid dynamics concepts as part of their research....

Faculty

Matthew Coppenbarger

Tamas Wiandt

Elizabeth Cherry

Matthew Hoffman

Robert Parody

Manuela Campanelli

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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.

Applied Mathematics BS (Accelerated dual degree available)

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.

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Applied Statistics and Actuarial Science BS (Accelerated dual degree available)

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.

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Computational Mathematics BS (Accelerated dual degree available)

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

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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.

Applied and Computational Mathematics MS

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

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Applied Statistics Adv. Cert.

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

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Applied Statistics MS

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

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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 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.

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Minor and Immersions

Applied Statistics Immersion

Notes about this immersion:

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Applied Statistics Minor

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.

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Mathematics Immersion

Notes about this immersion:

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Mathematics 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.

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Facilities

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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