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ICME logoComputational mathematics is at the heart of many engineering and science disciplines and has grown into a strong and very exciting interdisciplinary field of research.

We do Big Math

At Stanford, we've offered MS and PhD degrees in computational mathematics for over 30 years. For the last 10 years, ICME has been the central home of computational mathematics on campus. We conduct ground breaking research, train and advise our graduate students and provide over 60 courses in computational mathematics and scientific computing at both the undergraduate and graduate level to the Stanford community.

Research & PhD Program

We develop innovative computational and mathematical approaches for complex engineering and scientific problems. We attract talented PhD students from across the globe. They are advised in research by 50 faculty from 20 departments, covering a wide variety of fields including statistics and data science, control, optimization, numerical analysis, machine learning/ deep learning, applied mathematics, high-performance computing, earth sciences, flow physics, graphics, bioengineering, genomics, economics and financial mathematics, molecular dynamics, and many more. PhD graduates find outstanding positions in industry, at national laboratories, as well as in academia.

MS Program

Our MS degree provides a solid introduction to computational mathematics and computing. ICME MS graduates find positions in industry, or continue with a PhD in ICME or disciplinary programs. We offer several specialized MS degree tracks. In 2015-2016 they include Computational Geosciences, Data Science, Imaging Sciences, and Mathematical & Computational Finance.

If you have any questions that are not addressed on these webpages, do not hesitate to contact us at

Welcome to ICME,

Margot Gerritsen

Upcoming Events

Date Time Title
Saturday March 25
08:30AM to 18:00PM
Scaled Machine Learning Workshop
Friday March 31
09:00AM to 17:00PM
Fundamentals of Machine Learning Workshop



Friday, March 31, 2017

Discover the basics behind the application of modern machine learning algorithms. The workshop instructors will discuss a framework for reasoning about when to apply various machine learning techniques, emphasizing questions of over-­fitting/under-­fitting, regularization, interpretability,...

Thursday, February 9, 2017

The National Academy of Engineering (NAE) has elected 84 new members and 22 foreign members, among them ICME faculty member Leonidas Guibas.  According to the NAE website, "election to the National Academy of Engineering is among the highest professional...

Wednesday, February 1, 2017

ICME professor Alison Marsden talks about computer-based simulations that are helping physicians test different treatment options and provide a way to choose the best strategy for each patient.  ...

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