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.

Our program emphasizes both fundamental and applied topics in mathematics and computational sciences including real and functional analysis, partial differential equations, numerical analysis, classical and quantum mechanics, kinetic theory, optimal control, high-performance computing and computing architecture, uncertainty quantification,  bioinformatics system, and many more (for the complete list of courses, please check the AMCS Program Guide).

The AMCS program offers two degree programs: the M.S. degree (with or without a final thesis) and the Ph.D. degree. Students interested in both diploma should apply to M.S. + Ph.D. from the start to secure the continuation of their studying at KAUST.

Both degrees offer the opportunity to specialize in one of two distinct tracks.

Applied Mathematics (AM)

The Computational Science and Engineering Track accentuates the focus on a type of mathematics applied to computation. Thanks to the on-campus presence of extreme computing facilities (a Cray XC40 supercomputer delivering over 7.2 Pflops/s of theoretical peak performance and a range of x86 homogeneous and heterogeneous servers) a broad part of AMCS courses and research revolve around the optimization of high-performance computing (HPC) by means of new architectures and the conceptualization of new algorithms.

Computational Science and Engineering (CSE)

Research in the AMCS program lays down roots in the individual Faculty Research Groups, and is complemented by the KAUST Core Lab facilities and the Research Centers affiliated to CEMSE, with collaborations spanning across the University, industry and international research institutions.