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KAUST Statistics (STAT) Program
by: King Abdullah University of Science and Technology (KAUST)
The Statistics (STAT) program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. It boasts superb facilities and resources, including access to the latest supercomputing and visualization facilities. Combined with the state-of-the-art experimental laboratories, experimental studies at KAUST are almost unconstrained by physical re...
The Statistics (STAT) program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. It boasts superb facilities and resources, including access to the latest supercomputing and visualization facilities. Combined with the state-of-the-art experimental laboratories, experimental studies at KAUST are almost unconstrained by physical resources. Research at the STAT Program pushes the boundaries of statistical theory and its application to address pressing national and global challenges in healthcare, environmental sustainability, and beyond. Key research areas include: • Statistical Methodology • Health and Environmental Applications • Extreme Events and Risk Analysis
Program Highlights
Master advanced statistical theory and methods to tackle complex, data-driven challenges.
Apply statistical modeling to real-world problems in science, engineering, and technology.
Collaborate with leading researchers across disciplines in a highly interdisciplinary environment.
Access cutting-edge computational tools and high-performance resources for data analysis.
Pursue graduate studies in a program emphasizing both theoretical rigor and practical impact.
Quick Details
- King Abdullah Economic City, Saudi Arabia
- Masters
- Actuarial Science
- Computer Programming
- Statistics
- All Nationalities
Program Details
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Locations
- King Abdullah Economic City, Saudi Arabia
Types and Subjects
- Degree Levels
- Masters
- Subjects & Courses
- Actuarial Science
- Computer Programming
Availability
Years Offered: Year Round
Age Requirement
Age Requirement Varies
Guidelines
All Nationalities
Cost per week
Program Cost Includes
- Tuition & Fees
- Accommodation / Housing for Program Duration
- Medical / Accident Insurance
Accommodation Options
- Apartment/Flat
- Independent living
Qualifications & Experience
- English
Language Skills Required
- Bachelor’s degree
- Master’s degree
Accepted Education Levels
Application Procedures
- Letters of Reference
- Phone/Video Interview
- Transcript
- Other
Program Reviews
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Ready to Learn More?
The Statistics (STAT) program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. It boasts superb facilities and resources, including access to the latest supercomputing and visualization facilities. Combined with the state-of-the-art experimental laboratories, experimental studies at KAUST are almost unconstrained by physical resources. Research at the STAT Program pushes the boundaries of statistical theory and its application to address pressing national and global challenges in healthcare, environmental sustainability, and beyond. Key research areas include: • Statistical Methodology • Health and Environmental Applications • Extreme Events and Risk Analysis
King Abdullah University of Science and Technology (KAUST)
King Abdullah University of Science and Technology (KAUST)
Ready to Learn More?
The Statistics (STAT) program at KAUST educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. It boasts superb facilities and resources, including access to the latest supercomputing and visualization facilities. Combined with the state-of-the-art experimental laboratories, experimental studies at KAUST are almost unconstrained by physical resources. Research at the STAT Program pushes the boundaries of statistical theory and its application to address pressing national and global challenges in healthcare, environmental sustainability, and beyond. Key research areas include: • Statistical Methodology • Health and Environmental Applications • Extreme Events and Risk Analysis
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