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Beseyat
العربية
Credit hours
30
Levels
4
Courses
9
Degree
master

The Master of Science in Visual and Spatial Computing study plan at King Fahd University of Petroleum & Minerals is an accredited master programme spanning about 2 years (4 academic levels), requiring 30 credit hours across 9 courses of required and elective study. The table below lists the courses and their credit hours for each level.

Semester 1 (Fall) 6 credits

Code Course Credits
MATH 528 Mathematics for Visual Computing 3
ITD 521 Digital Visualization for Visual Computing 3

Semester 2 (Spring) 6 credits

Code Course Credits
COE 595 Advanced Computer Vision Processing 3
ICS 502 Machine Learning 3

Semester 3 (Fall) 6 credits

Code Course Credits
MATH 583 Computer Graphics: Modeling and Processing 3
SWE 503 Human-Computer Interaction 3

semester 4 (Spring) 12 credits

Code Course Credits
ICS 544 Interactive Computer Graphics 3
MATH 584 Computer Graphics : Animation and Simulation 3
ICS 619 Project 6

This plan is transcribed from the university's official source. Always confirm the plan approved for your own cohort before registering. Official source

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Frequently asked questions about Master of Science in Visual and Spatial Computing

How many credit hours is Master of Science in Visual and Spatial Computing at King Fahd University of Petroleum & Minerals?

Master of Science in Visual and Spatial Computing at King Fahd University of Petroleum & Minerals requires completing 30 credit hours to graduate, spread across 9 courses.

How many years is Master of Science in Visual and Spatial Computing at King Fahd University of Petroleum & Minerals?

The study plan for Master of Science in Visual and Spatial Computing spans about 2 years (4 levels/semesters) under the approved plan.

What degree does Master of Science in Visual and Spatial Computing award?

Master of Science in Visual and Spatial Computing at King Fahd University of Petroleum & Minerals awards a Master's degree after completing 30 credit hours.

Other majors in College of Computing and Mathematics — Information and Computer Science Department