Syracuse University

What you'll study

The MS in Computer Engineering blends core topics in digital hardware and embedded systems with elective study in advanced software, networking and applied machine learning. Students typically follow either a thesis or a non-thesis (coursework and project) pathway and complete a mix of required core courses and technical electives chosen to match their interests.

• Core areas: computer architecture, digital system design, embedded systems, signals and systems, and hardware/software integration.
• Common technical electives: VLSI design, FPGA prototyping, real-time and cyber-physical systems, semiconductor device fundamentals, high-performance computing, computer networks, security for embedded systems, and applied machine learning for hardware systems.
• Laboratory and project work: hands-on labs using FPGAs and microcontrollers, system-on-chip prototyping, hardware debugging and performance evaluation. The non-thesis option typically includes a capstone design project supervised by faculty.
• Research and thesis option: students focused on research work with faculty may undertake a thesis in areas such as computer architecture, embedded systems, IoT and sensor networks, or hardware security. Thesis students work closely with advisors and research groups.
• Credit structure: the programme requires completion of graduate-level coursework and either a research thesis or a project sequence; credit totals and course selection are determined in consultation with a departmental adviser.

Entry requirements

Applicants should hold a bachelor’s degree in electrical engineering, computer engineering, computer science or a closely related technical field. Typical academic expectations include a strong undergraduate record in mathematics, programming and core engineering courses.

• Official transcripts from prior postsecondary institutions.
• Statement of purpose describing academic background, technical interests and career objectives.
• Letters of recommendation, usually two or three, from academic or professional referees familiar with the applicant’s technical abilities.
• Some applicants may be asked to provide GRE scores where required by the department; requirements vary by programme and applicant background.
• International applicants must demonstrate English language proficiency through recognised tests unless eligible for a waiver.
• Relevant professional experience, published work or prior research can strengthen an application, especially for research or thesis tracks.

Career prospects

Graduates of the MS in Computer Engineering are prepared for technical and engineering roles across multiple industries. Typical career paths include:

• Hardware design engineer or FPGA/ASIC engineer in semiconductor and electronics companies.
• Embedded systems or firmware engineer developing IoT devices, automotive and industrial control systems.
• Systems architect or high-performance computing engineer working on servers, data centres and compute platforms.
• Networked and security-focused roles that combine hardware and software expertise, including cybersecurity for embedded devices.
• Continuing to doctoral studies and research careers in academia or national labs.

Why study at Syracuse University

Syracuse University’s engineering school offers an interdisciplinary environment with faculty expertise spanning computer engineering, computer science and systems engineering. The programme emphasises hands-on learning and close faculty mentorship, enabling students to develop practical skills in modern hardware and embedded platforms.

• Access to departmental research groups and centres where students can participate in funded projects and applied research.
• State-of-the-art laboratory facilities for prototyping, FPGA development and embedded systems testing, plus opportunities for collaboration with industry partners.
• Strong career support and connections with employers across the Northeast and nationally, including internship and co-op pathways that help translate technical training into workplace experience.
• Flexible degree options (thesis and non-thesis) to suit students aiming for industry roles or continued academic research.