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Modeling and Simulation
KFUPM Main Campus, Dhahran, Saudi Arabia
# =84QS Subject Rankings
24 monthsProgram duration
YesScholarships
MathematicsMain Subject Area
Program overview
Main Subject
Mathematics
Degree
MSci
Study Level
Masters
Study Mode
Blended
This is an interdisciplinary program designed to provide knowledge and essential skills to solving real-world problems using computational tools, including modeling systems and phenomena and simulating them in order to fully optimize them. Graduates of this...
Read more
This is an interdisciplinary program designed to provide knowledge and essential skills to solving real-world problems using computational tools, including modeling systems and phenomena and simulating them in order to fully optimize them. Graduates of this discipline are highly demanded in both business and industry, as these sectors seek to become more effectives and successful in their operations.
This program focuses on developing models to understand the inherent structure of the data. Topics include probability theory, inference, least-square estimation, interpolations, adaptive approximations, numerical differentiation and integration, quadrature, multistep methods, finite difference, and applications to steady-state and time-dependent problems involving initial-value and boundary-value problems. The program also covers simulation, in terms of queuing systems, stochastic processes, random number generation, numerical methods, and software techniques for building simulators. The inverse problem is also covered, whose methods describe identifying the parameters and structures of models that give rise to the recorded observation, an essential tool to understanding physical phenomena.
Read lessProgram overview
Main Subject
Mathematics
Degree
MSci
Study Level
Masters
Study Mode
Blended
This is an interdisciplinary program designed to provide knowledge and essential skills to solving real-world problems using computational tools, including modeling systems and phenomena and simulating them in order to fully optimize them. Graduates of this...
Read more
This is an interdisciplinary program designed to provide knowledge and essential skills to solving real-world problems using computational tools, including modeling systems and phenomena and simulating them in order to fully optimize them. Graduates of this discipline are highly demanded in both business and industry, as these sectors seek to become more effectives and successful in their operations.
This program focuses on developing models to understand the inherent structure of the data. Topics include probability theory, inference, least-square estimation, interpolations, adaptive approximations, numerical differentiation and integration, quadrature, multistep methods, finite difference, and applications to steady-state and time-dependent problems involving initial-value and boundary-value problems. The program also covers simulation, in terms of queuing systems, stochastic processes, random number generation, numerical methods, and software techniques for building simulators. The inverse problem is also covered, whose methods describe identifying the parameters and structures of models that give rise to the recorded observation, an essential tool to understanding physical phenomena.
Read lessAdmission Requirements
Tuition Fee and Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Frequently Asked Questions