Master of Computer Engineering

• Scientific Proficiency: Advanced ability to apply mathematics, science, and engineering principles to complex technical challenges.
• Experimental & Analytical Skills: Proficiency in designing and conducting experiments, as well as analyzing and interpreting advanced technical data.
• System Design: Capability to design systems, components, or processes that meet specific needs while considering economic, environmental, ethical, and safety constraints.
• Advanced Problem Solving: Skill in identifying, formulating, and solving sophisticated engineering problems using modern techniques and tools.
• Professionalism & Ethics: A deep understanding of professional and ethical responsibility and the broad impact of engineering solutions in global and societal contexts.
• Communication & Teamwork: Ability to communicate effectively and function productively within multidisciplinary teams.

In addition to the admission requirements outlined in the Unified Regulations for Graduate Studies in Saudi Universities and the organizational and procedural rules for graduate studies at King Saud University, the department stipulates the following:

• Applicants must hold a bachelor’s degree in a regular program from King Saud University or its equivalent in one of the following specializations: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Information Technology, or computing-related disciplines.
• Applicants must have a GPA of 3.5 out of 5 or higher (or its equivalent) in Computer Engineering and Electrical Engineering, or a GPA of 4 out of 5 or higher (or its equivalent) in other specializations.
• Applicants must achieve a minimum score of 75 in the quantitative section of the Qiyas exam or 144 in the quantitative section of the GRE to accommodate applicants from outside the kingdom.
• Applicants must score at least 45 in the TOEFL iBT exam or its equivalent.

Thesis Track (30 Credit Hours)

Compulsory Courses (13 Credit Hours)

First Semester
CEN 521 – Advanced Computer Architecture – 3 Credit Hours
CEN 531 – Computer Networks – 3 Credit Hours
CEN 543 – Digital Signal Processing – 3 Credit Hours

Second Semester
CEN 591 – Seminar in Computer Engineering – 1 Credit Hour
CEN 592 – Independent Study – 2 Credit Hours
CEN 596 – Thesis Proposal Preparation – 1 Credit Hour

Electives (Choose 11 Credit Hours)
Selected from department-approved courses (examples: Computer Security, Machine Learning, Robotics, IoT, Computer Vision, NLP).

Thesis
CEN 600 – Research and Defense – 6 Credit Hours

Project Track (32 Credit Hours)

Compulsory Courses (14 Credit Hours)
Similar core courses as the thesis track:
CEN 521 – Advanced Computer Architecture – 3 Credit Hours
CEN 531 – Computer Networks – 3 Credit Hours
CEN 543 – Digital Signal Processing – 3 Credit Hours
Additional core courses as per department requirements – 5 Credit Hours

Elective Courses (12 Credit Hours)
Expanded elective options to allow specialization in areas such as:

• Computer Security

• Machine Learning and Data Mining

• Robotics and IoT

• Computer Vision and NLP

Project Courses (6 Credit Hours)
Completion of two project-based courses – 3 Credit Hours each