Computational Material and Modeling 24 months Postgraduate Programme By KFUPM |TopUniversities
Subject Ranking

# 151-200QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

Physics and AstronomyMain Subject Area

Programme overview

Main Subject

Physics and Astronomy

Degree

MSci

Study Level

Masters

Study Mode

On Campus

This multidisciplinary program focuses on a field that is rapidly evolving and strongly demanded, since understanding the properties of materials is key for manufacturing useable, robust, and economically viable products. Students are educated to be able to model, simulate, and design materials of desirable properties.

The program studies the interrelation between the structure and properties of materials, which is at the heart of understanding material behavior at a range of different length and time scales. Topics include Monte Carlo simulation, Markov chains, random walks, stochastic systems (e.g. Brownian dynamics), and continuous phase transitions in lattices. The program also covers atomistic simulations, including molecular dynamics simulations and density functional theory, as well as applications in catalysis, nanomaterials, alloy design, corrosion inhibitors, and 3D printing. Other topics include material informatics, e.g. machine learning (regression, classification, unsupervised learning, etc.) and its application in materials selection for engineering design and multi-scale modeling.

Programme overview

Main Subject

Physics and Astronomy

Degree

MSci

Study Level

Masters

Study Mode

On Campus

This multidisciplinary program focuses on a field that is rapidly evolving and strongly demanded, since understanding the properties of materials is key for manufacturing useable, robust, and economically viable products. Students are educated to be able to model, simulate, and design materials of desirable properties.

The program studies the interrelation between the structure and properties of materials, which is at the heart of understanding material behavior at a range of different length and time scales. Topics include Monte Carlo simulation, Markov chains, random walks, stochastic systems (e.g. Brownian dynamics), and continuous phase transitions in lattices. The program also covers atomistic simulations, including molecular dynamics simulations and density functional theory, as well as applications in catalysis, nanomaterials, alloy design, corrosion inhibitors, and 3D printing. Other topics include material informatics, e.g. machine learning (regression, classification, unsupervised learning, etc.) and its application in materials selection for engineering design and multi-scale modeling.

Admission Requirements

2 Years

Scholarships

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Frequently Asked Questions

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