Current Students StudyInfo Placement Test To facilitate the design of an individual study plan, all admitted students to the program without an M.S. degree must take a written assessment test upon arrival at KAUST. This test covers topics students are expected to have a solid understanding of from their undergraduate education. The following overview outlines the topics covered on the test and suggests resources for review. AMCS Placement Test Overview Qualifying Exam To advance to PhD candidacy, all Ph.D. students must successfully pass a qualifying exam designed to assess their knowledge within their field of study
Prospective Students Study Join the Ranks of Leading Engineers The Applied Mathematics and Computational Sciences (AMCS) program at KAUST equips students with the conceptual and practical knowledge to tackle complex mathematical challenges in modern science. By bridging diverse scientific fields, AMCS provides essential tools to understand phenomena that are often too difficult, costly, or unethical to study through real-world experiments. Explore the AMCS Program Browse our faculty profiles, research groups and research areas to explore their backgrounds, research interests and significant contributions to advancing
Applied Probability and Uncertainty Quantification Research Researchers in Applied Probability and Uncertainty Quantification within the KAUST AMCS Program focus on stochastic modeling, Bayesian inference, and uncertainty quantification for complex systems, with applications in computational fluid mechanics, data assimilation, and risk assessment.
Mathematical Modeling Research Researchers in this area focus on integrating mathematical modeling with advanced computational techniques, with applications in wave propagation, complex media, multiscale phenomena, computational medicine, and computational fluid dynamics.
Mathematics of Data Science, Machine Learning and Optimization Research Researchers in the mathematics of data science, machine learning, and optimization focus on algorithmic complexity, combinatorial optimization, and machine learning applications, including deep learning for partial differential equations and discrete optimization.
Numerical Analysis and High-Performance Computing Research Researchers in numerical analysis and high-performance computing focus on scalable solvers for partial differential equations, data sparsity techniques, numerical methods for differential equations, algorithms for compressible flows, and parallel computing implementations.
Partial Differential Equations and Applied Analysis Research Researchers in partial differential equations (PDEs) and applied analysis focus on the theoretical foundations and applications of PDEs in physics, biology, economics, and engineering. Their research includes mean-field games, Hamilton-Jacobi equations, nonlinear PDEs, free boundary problems, the calculus of variations, and regularity theory.
Research Areas Research Research at KAUST AMCS program combines theory, modeling and computation. Shaheen III and Ibex empower impactful research across five core areas.
About Applied Mathematics and Computational Science (AMCS) Program Info The KAUST program in Applied Mathematics and Computational Science (AMCS) trains students to develop, analyze, and solve mathematical and computational models of real-world problems. The AMCS program enables students to address models of physical and biological systems such as electromagnetic and acoustic waves, human and animal physiology, mechanics of complex solids, as well as the branches of science dealing with social, economic and financial behavior. The program emphasizes both fundamental and applied topics in mathematics and computational sciences including real and functional analysis
Current Students StudyInfo Placement Test To facilitate the design of an individual study plan, all admitted students to the program without an M.S. degree must take a written assessment test upon arrival at KAUST. This test covers topics students are expected to have a solid understanding of from their undergraduate education. The following overview outlines the topics covered on the test and suggests resources for review. AMCS Placement Test Overview Qualifying Exam To advance to PhD candidacy, all Ph.D. students must successfully pass a qualifying exam designed to assess their knowledge within their field of study
Applied Mathematics and Computational Sciences Program Front Page Innovating Through Research and Education The Applied Mathematics and Computational Sciences (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. Faculty and Groups Browse our faculty profiles and research groups to explore their expertise, research interests
KAUST SIAM Student Chapter Who and Where We Are We are a group of applied math students, studying at KAUST, in Thuwal, Kingdom of Saudi Arabia, who are trying to share their interest in mathematics and network with people studying or working in the field of mathematics and their applications. We are located at Building 1, Al-Khawarizmi Building of the King Abdullah University of Science and Technology ( see here). Our goals Our main goals are: To build strong connections between SIAM and the students of KAUST, between students and faculty, and among students from different research areas To encourage and help students
