Learn by Doing: Gain experience through an experiential learning component of the program approved by the School of Mathematics and Statistics. Real World Experience: With RIT’s cooperative education ...

Apply the laws of mathematics and computer science to the world around you. The most pressing problems facing society require breakthrough ideas. With a BS in Mathematics with a concentration in ...

The new bachelor’s degree brings together essential elements of both mathematics and computing training and includes the applications of mathematical theories relevant to computing and data, as well ...

Expand the application of computing and computational thinking at an R1 flagship technological university where STEM research is at the heart of everything we do. Learn from caring and skilled faculty ...

Council of the University Senate members will meet for a previously unscheduled meeting on Friday to continue discussions ...

1 The Arts and Humanities (AH) and Social Sciences (SS) perspectives are subsets of the Breadth of Knowledge (BOK) requirements in the Core Curriculum. No more than two BOK courses can be taken with ...

How long does it take? This 120 credit program is designed to be completed in four years. The bachelor’s degree in mathematics at the University of Nevada, Reno is offered as a Bachelor of Arts or a ...

1 MATH.1020 is optional but strongly recommended. If this course is completed, then total free electives are reduced by one credit. 2 All Kennedy College of Sciences (KCS) majors in BS programs must ...

The Department of Engineering Sciences and Applied Mathematics (ESAM) at Northwestern University is highly interdisciplinary and focused on applications. Our faculty and students connect with ...

Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...

Zoe Brown, a mathematics graduate student from London, Ky., is the 2025-26 recipient of WKU’s John D. Minton Award.

We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between ...