Institute for Computational and Mathematical Engineering

The Institute for Computational & Mathematical Engineering (ICME) is an interdisciplinary, degree-granting (M.S./Ph.D.) institute at Stanford University, positioned at the dynamic intersection of mathematics, computing, engineering, and applied sciences. Established in 2004 and building on the legacy of the Scientific Computing and Computational Mathematics Program (established in 1989), ICME has a rich history of advancing computational science. At its core, ICME is dedicated to designing state-of-the-art mathematical and computational models, methods, and algorithms to solve critical challenges in science and engineering.

Academic Programs and Training

ICME course offerings and graduate degree programs train students in the increasingly critical areas of mathematical modeling, scientific computing, advanced computational approaches, and data science algorithms. Our courses deliver a strong theoretical foundation while emphasizing practical application and numerical computation. The curriculum covers essential topics such as matrix computations, optimization, stochastics, the numerical solution of partial differential equations, and parallel computing.

The institute offers two primary graduate degree pathways:

• Master of Science (M.S.): Provides both a general track and specialized tracks for students seeking focused expertise. Current specializations include Data Science, Imaging Science, and Mathematical and Computational Finance.

• Doctor of Philosophy (Ph.D.): Designed for advanced research, preparing students to drive innovation in academic and industrial fields.

Interdisciplinary Collaboration and Research

ICME’s vibrant, multidisciplinary environment is its defining strength, creating a unique ecosystem where students and faculty from diverse backgrounds converge. With connections to nearly 20 departments across Stanford’s seven schools, ICME leverages the university's world-class strengths in the physical, biological, mathematical, and information sciences.

ICME students work with faculty and industry partners to develop state-of-the-art solutions that advance disciplinary fields. Our research tackles challenges across a remarkable range of areas, including:

• Data Science and Machine Learning

• Aerodynamics and Space Applications

• Fluid and Ocean Dynamics

• Climate Modeling and Reservoir Engineering

• Protein Folding and Computational Biology

• Computer Graphics and Imaging Science

• Financial Mathematics