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King Abdullah University of Science and Technology
Applied Mathematics and Computational Science
AMCS
Applied Mathematics and Computational Science
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Innovating Through Research and Education

The Applied Mathematics and Computational Science (AMCS) Program provides students with conceptual and practical knowledge for dealing with challenges of modern science. The Program is a passport for interdisciplinary research, living at the crossroads of a wide range of scientific disciplines and offering tools to understand phenomena that are either too complex, expensive, unethical or difficult to investigate with practical experiments.

Watch KAUST AMCS welcome video by Professor Diogo Gomes on YouTube.

Faculty and Groups

Browse our faculty profiles and research groups to explore their expertise, research interests and impactful contributions that drive innovation and discovery at KAUST.

KAUST DD28

Faculty Profiles

Research Groups

Research Areas

The AMCS Program at KAUST combines mathematics, modeling, and computational science to solve real-world problems. AMCS researchers innovate across various fields, with key research areas including:

Applied Probability and Uncertainty Quantification
Mathematical Modeling 
Mathematics of Data Science, Machine Learning and Optimization
KAUST-CEMSE-ECRC-Compress to impress with AI hardware
Numerical Analysis and High-Performance Computing
Partial Differential Equations and Applied Analysis 

The Visiting Student Research Program (VSRP)

The KAUST VSRP is an exciting three-to-six-month research internship opportunity that provides research experience for highly qualified and motivated STEM students to work alongside leading faculty and researchers on impactful projects.

Find a research project that aligns with your study area and apply.

Learn more about VSRP

News

KAUST, in collaboration with MCIT, to host the second edition of the MENA Machine Learning Winter School (MenaML)

1 min read · Mon, Jan 26 2026

News Clip News

machine learning artificial intelligence AI

Smarter MRI image analysis for the whole heart

1 min read · Thu, Jan 22 2026

News Clip News

bayesian analysis Bayesian Statistics

KAUST professor Peter Richtárik receives Charles Broyden Prize for second consecutive year

2 min read · Wed, Jan 21 2026

Awards News

optimization machine learning communication efficiency artificial intelligence big data algorithm

more

Upcoming Events

KAUST CEMSE AMCS Mathematics and Applications Colloquium Theodoros Katsaounis Structure Preserving Methods for Schrodinger Type of Equations

Structure Preserving Methods for Schrodinger Type of Equations

Theodoros Katsaounis, Professor, Department of Mathematics and Applied Mathematics, University of Crete (UoC)

Mar 3, 14:30 - 15:30

B1 L3 R3119

Schrödinger equation cosmology waves

KAUST CEMSE AMCS Seminar Gritte Welper Approximation and Optimization for Neural Networks

Approximation and Optimization for Neural Networks

Gritte Welper, Assistant Professor, Mathematics, University of Central Florida (UCF)

Mar 4, 12:00 - 13:00

B2/B3 L0 A0215

Neural Networks optimization deep neural networks Finite element methods

KAUST CEMSE AMCS STAT Graduate Seminar Ting Li Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

Remote Sensing and Agroinformatics Insights in Saudi Arabia Using Machine Learning

Ting Li, Postdoctoral Research Fellow, Environmental Science and Engineering
Mar 5, 12:00 - 13:00

B9 L2 R2325

remote sensing machine learning sustainable agricultural agricultural productivity

more

Join KAUST

Join world-class research on the shores of the Red Sea.

KAUST Students

Study at KAUST

Faculty Positions

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Researcher Positions

Partnership Opportunities

Applied Mathematics and Computational Science (AMCS)

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