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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.
Programme 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 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.
Admission Requirements
2 Years
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Modeling and Simulation
KFUPM Main Campus, Dhahran, Saudi Arabia
# =84QS Subject Rankings
24 monthsProgramme duration
MathematicsMain Subject Area
Programme 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 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.
Programme 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 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.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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