Master of Science in Computer Engineering

1 Months On Campus Masters Program

American University of Sharjah

Program Overview

This Master of Science in Computer Engineering (MSCoE) is a cutting-edge postgraduate programme that equips you with advanced technical knowledge and research capabilities in computing systems, hardware design, networks and intelligent systems. You’ll build both theoretical insight and practical skills that open doors to roles in high-tech industries — from embedded systems and communications to AI-enabled devices and cyber-physical systems.

Curriculum Structure (Year-by-Year)

Year 1 — Core Foundations & Technical Depth:
In your first semester, you’ll dive into core areas of computer engineering that give you a strong analytical and design base. Topics typically cover advanced computing systems, hardware and embedded design, networked systems, signal processing fundamentals, and research methodology for engineering problems — helping you develop the skills needed to model, analyse and optimise complex computer systems at both software and hardware levels.

Specialisation, Research & Thesis/Project:
The second semester focuses on specialisation and independent work. You’ll choose advanced electives tailored to your interests (such as AI-enabled systems, high-performance computing, communications and embedded applications), and complete your Master’s Thesis or substantial professional project — a major research or design task where you apply your learning to a real-world challenge and demonstrate your ability to conduct independent engineering research.

Focus areas:
Computer systems design; embedded and hardware systems; communications and networks; intelligent systems; research methods and engineering project execution.

Learning outcomes:
You’ll graduate able to apply advanced engineering principles to analyse and design complex computing systems, conduct independent research, solve real engineering challenges with modern tools, and communicate technical solutions effectively to multidisciplinary teams.

Professional alignment (accreditation):
This is a Level 9 Master’s qualification recognised under the UAE Ministry of Higher Education & Scientific Research’s Commission for Academic Accreditation (CAA), giving you a credential widely accepted for professional roles and further doctoral study.

Reputation (employability):
AUS is a respected research and teaching university in the UAE with strong industry links, and this programme prepares graduates for technology careers in sectors such as embedded systems, communications, automation, IoT, AI, robotics and computer hardware/software engineering.

Experiential Learning (Research, Projects, Internships etc.)

Students develop applied expertise by conducting original research in a chosen specialization, utilizing advanced laboratory facilities, and engaging with industry and community-focused projects. This hands-on learning is facilitated by the university's research-oriented environment and partnerships. The experiential learning approach is implemented through several key components:

Primary Research Focus: The core practical component is a substantial Master's Thesis. Students must complete an independent research project (12 credit hours) that involves designing, implementing, and evaluating a novel solution to a computing problem under the supervision of a faculty advisor.
Specialized Research Facilities: Students have access to KU's specialized research laboratories and institutes. These include labs within the Center for Cyber-Physical Systems (C2PS), the KU Center for Autonomous Robotics Systems (KUCARS), and the KU Center for Digital Supply Chain and Operations Management, depending on their chosen specialization (e.g., Data Science, Robotics, Cybersecurity).
Industry-Standard Software & Tools: While specific applications are not listed, the research-centric nature of the program implies the use of professional-grade tools relevant to each specialization, such as machine learning frameworks (TensorFlow, PyTorch), robotics simulators (Gazebo, ROS), cybersecurity analysis tools, and high-performance computing clusters.
Industry and Community Engagement: The program encourages practical application through industrial projects and community service. Students may engage in collaborative projects with industry partners or apply their skills to address community needs, linking academic knowledge with real-world impact.

Progression & Future Opportunities

Graduates of the American University of Sharjah's MSc in Computer Engineering gain expertise in advanced computer networks, architecture, cybersecurity, wireless systems, data mining, and high-performance computing through thesis or project options emphasizing hardware-software integration. This prepares them for forefront roles in smart cities, AI, IoT, and cyber-physical systems at leading UAE/global tech firms in hardware, mobile, banking, and gaming. Typical jobs include Computer Engineer, Network Architect, Cybersecurity Specialist, and Systems Designer.

Career Support & Opportunities:

University Services: Graduate Studies office and career center offer assistantships, work-study, project guidance, and industry networking for regional placements.
Employment Stats & Salary: High employability (90%+); UAE computer engineering master's start at AED 20,000–35,000 monthly in tech/innovation sectors.
Partnerships: Dual-degree collaborations (e.g., Queen's University) and industry ties provide research/projects in AI/IoT/cybersecurity.
Accreditation Value: UAE MoE-recognized, supporting GCC/international mobility for engineering leadership.
Outcomes: Progression to senior technical roles or doctoral studies within 3–5 years.

Further Academic Progression: Post-MSc, pursue PhD in Computer Engineering/AI at AUS or partners like Queen's, or interdisciplinary tracks in engineering-psychology; certs (e.g., CISSP) align with media/data interests.