Graduate
Master of Science in Computer Engineering
Starting Fall 2026, the MS in Computer Engineering will transition to the Department
of Electrical and Computer Engineering (ECE) at the College of Engineering. This move
reflects the natural alignment between computer engineering and the department’s broad
expertise in both hardware and software systems. Students in the program will benefit
from an enriched academic environment that fosters interdisciplinary learning, innovation,
and real-world application. The MS in Computer Engineering will equip graduates with
advanced technical knowledge, research experience, and professional skills to thrive
in one of today’s most dynamic and impactful fields.
Curriculum Highlights
The MS in Computer Engineering curriculum has been thoughtfully designed to balance rigor and flexibility. It allows students to pursue focused depth in specialized areas while maintaining a strong foundation across core disciplines. Key areas of study include:
- Computer Architecture, Hardware, and System-on-Chip (SoC) Design: Exploration of advanced architectures, high-performance computing, VLSI design, and system integration that power modern computing platforms.
- Networking, Communications, and Cybersecurity: In-depth study of computer networks, wireless and mobile communication systems, and cutting-edge approaches to securing data, infrastructure, and critical technologies.
- Artificial Intelligence, Machine Learning, and Data Systems: Training in AI-driven solutions, data science, and computational techniques that underpin today’s intelligent applications and decision-making systems.
- Cyber-Physical, Embedded, and Robotic Systems: Development of expertise in systems that integrate computation, sensing, and actuation, with applications ranging from smart devices to autonomous robotics.
- Quantum Computing and Emerging Technologies: Exposure to next-generation paradigms in computing and exploration of frontier technologies
that will shape the future of information processing.
Opportunities for Research and Collaboration
Beyond coursework, students will be encouraged to engage in faculty-led research projects that span foundational theory to applied innovation. The program provides avenues to collaborate with industry partners, government agencies, and research labs, giving students direct access to real-world challenges and solutions. Participation in seminars, workshops, and interdisciplinary initiatives will further enrich the learning experience.
Career Preparation and Outcomes
Graduates of the program will be well-positioned for careers across academia, industry, and government. The combination of advanced technical expertise, research experience, and hands-on learning will prepare students for roles such as computer hardware engineer, systems architect, AI and ML specialist, network security analyst, robotics developer, or researcher in emerging technologies.
Next Steps
Additional details and a full curriculum outline will be released soon. In the meantime, if you have any questions about the program, degree requirements, or the application process, please contact: [Insert Name, Title, Email, and/or Phone Number].