University of New Haven

What you'll study

The programme combines core coursework in advanced computer engineering with elective options that allow specialisation in areas such as embedded systems, digital design, networking and cybersecurity. Students typically choose between thesis and non‑thesis tracks; both tracks emphasise hands‑on design, experimentation and system integration.

• Core topics: computer architecture, digital system design, embedded systems, advanced microprocessors, and real‑time systems.
• Common elective areas: FPGA and hardware description languages (HDLs), wireless and wired networking, operating systems internals, IoT and sensor networks, machine learning for embedded devices, and secure system design.
• Capstone options: a research thesis supervised by faculty or a project/capstone that addresses an applied engineering problem in collaboration with industry or university laboratories.
• Laboratory work: practical labs using development boards, FPGAs, microcontrollers, CAD tools for circuit and PCB design, network testbeds, and simulation environments for verification and validation.
• Format and credit structure: a mix of lectures, labs and project work delivered over graduate‑level modules. Students may attend full‑time or part‑time depending on employer commitments.

Entry requirements

Applicants are normally expected to hold a Bachelor’s degree in electrical engineering, computer engineering, computer science or a closely related discipline. Admissions decisions consider the applicant’s academic record, relevant coursework (such as calculus, linear algebra, programming and basic circuits), letters of recommendation, a statement of purpose and a résumé.

• Academic background: undergraduate degree in engineering, computing or closely related field. Applicants with substantial professional experience and appropriate prior coursework may be considered.
• Transcripts and references: official transcripts and at least two academic or professional references.
• English language: evidence of English proficiency is required for applicants whose first language is not English (accepted tests include TOEFL or IELTS or equivalent institutional evidence).
• Additional materials: statement of purpose outlining technical interests and goals; a CV showing relevant projects or work experience. GRE scores may be requested in some cases but are not universally required—check the programme’s admissions guidance.

Career prospects

Graduates with an MS in Computer Engineering from the University of New Haven are prepared for roles that sit at the intersection of hardware and software. The programme trains students for work in product design, embedded and real‑time systems, telecommunications, networking, and security, as well as for further academic research.

• Typical job titles: embedded systems engineer, hardware engineer, firmware developer, systems engineer, FPGA/ASIC developer, network engineer, IoT systems architect, and cybersecurity engineer.
• Sectors that hire graduates: consumer electronics, defence and aerospace, telecommunications, automotive (including autonomous systems), industrial automation, medical devices, and technology start‑ups.
• Further study: alumni also progress to PhD programmes or research posts where they pursue specialised research in areas such as computer architecture, cyber‑physical systems and machine learning for embedded devices.

Why study at University of New Haven

The University of New Haven offers a focused, applied engineering education through its engineering college with small class sizes and close faculty supervision. The curriculum emphasises experiential learning, giving students substantial lab time, project work and opportunities to collaborate with industry partners.

• Hands‑on facilities: access to dedicated electronics, digital design and networking laboratories where students build and test real systems.
• Industry engagement: project collaborations, internships and advisory links with local and regional technology companies help students gain practical experience and professional contacts.
• Flexible study paths: options for thesis or practicum enable students to tailor the degree towards research or applied engineering careers.
• Support services: career services, graduate advising and research mentorship support students’ transition into the workforce or further study.