Master of Science (Project-Based) in Modeling and Simulation

The Master of Science (Project-Based) in Modeling and Simulation is an interdisciplinary program designed to provide knowledge and essential skills to deal with real-world applications in a wide range of industries. This program focuses on the following areas: numerical computing, discrete and fast algorithms, modeling and simulation, data science, inverse problems, statistical models, multi-physics, large data analysis, and related applications.

Admission Requirements

• University Requirements:
  • A Grade-Point Average (GPA) of 2.5 or higher on a scale of 4.00.
  • No GRE or GMAT is required.
  • IELTS score of 6+ or TOEFL of 70+ (waived for KFUPM graduates and Graduates from English Speaking Countries)
  • At least two letters of recommendation.
• Program Requirements:
  • Four-year bachelor's or master's degree (or equivalent) in Mathematics, Statistics, Computer Science, or any related area in Science and Engineering.
  • Grades of at least B (or equivalent) in most Mathematics and Statistics courses.
  • The admission process goes beyond meeting the minimum requirements. In particular, the list of courses, offered at KFUPM, which are equivalent to the required preparatory undergraduate instruction in calculus, linear algebra, and programming are required to be eligible for admission.

Degree Plan

The Master of Science (Project-Based) in Modeling and Simulation is a two-year degree plan. The course structure is as follows:

Course #	Title	LT	LB	CR
Fall Semester
ICS 502	Machine Learning	3	0	3
MATH 557	Applied Linear Algebra	3	0	3
		6	0	6
Spring Semester
ICS 574	Big Data Analytics	3	0	3
MATH 576	Applied Numerical Methods I	3	0	3
		6	0	6
Fall Semester
PETE 547	Computational Multiphysics Modeling	3	0	3
MATH 578	Applied Numerical Methods II	3	0	3
MATH 619	Project	0	0	IP
		6	0	6
Spring Semester
COE 588	Modeling and Simulation	3	0	3
MATH 585	Computational Inverse Problem	3	0	3
MATH 619	Project	0	0	6
		6	0	12
	Total Credit Hours			30

Course Description

• MATH 557: Applied Linear Algebra (3-0-3): Basics concepts from linear algebra and numerical analysis.
• MATH 576: Applied Numerical Methods I (3-0-3): Implementable numerical methods for solving initial value problems.
• MATH 578: Applied Numerical Methods II (3-0-3): Finite element, finite difference, and finite volume methods.
• MATH 585: Computational Inverse Problem (3-0-3): Fundamental concepts in linear and nonlinear inverse problems.
• MATH 619: Project (0-0-6): A graduate student will arrange with a faculty member to conduct an industrial research project.
• COE 588: Modeling and Simulation (3-0-3): Approaches to the simulation problem.
• ICS 502: Machine Learning (3-0-3): Introduction to machine learning.
• ICS 574: Big Data Analytics (3-0-3): Introduction and foundation of big data and big-data analytics.
• PETE 547: Computational Multiphysics Modeling (3-0-3): Advanced concepts involving Multiphysics modeling.

Additional Courses

• MATH 503: Mathematics for Data Science (3-0-3): Selected topics from linear algebra, multivariate calculus, and optimization for Data Science.
• MATH 506: Fundamentals of Data Science (2-1-3): All aspects of the data science pipeline.
• STAT 503: Probability and Statistics for Data Science (3-0-3): Selected topics from Probability theory, Statistical Inference, and Information Theory for Data Science.
• STAT 523: Forecasting Methods (3-0-3): Time Series Basics; Autocorrelation; Modeling and forecasting with MA, AR, ARMA, ARIMA models.
• ICS 504: Deep Learning (3-0-3): Deep Learning models and their applications in real-world.

King Fahd University For Petroleum And Minerals

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Overview:

King Fahd University For Petroleum And Minerals (KFUPM) is a public research university located in Dhahran, Saudi Arabia. It is renowned for its focus on science, technology, engineering, and mathematics (STEM) fields, particularly in petroleum engineering. KFUPM boasts a high global ranking, particularly in petroleum engineering and data science.

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Key Reasons to Study There:

High Global Ranking:

KFUPM holds a strong global ranking, particularly in petroleum engineering and data science.

Focus on STEM:

The university specializes in STEM fields, offering a wide range of programs in these areas.

Research Opportunities:

KFUPM is a research-intensive university with a strong focus on innovation and collaboration.

US Patent Record:

KFUPM ranks highly among universities worldwide in terms of the number of US patents registered.

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Academic Programs:

Undergraduate:

KFUPM offers a variety of undergraduate majors and concentrations across various STEM fields.

Graduate:

The university provides a range of graduate programs, including master's and doctoral degrees.

Colleges and Departments:

KFUPM is organized into several colleges and departments, each specializing in specific areas of study.