Santa Clara University

What you'll study

The programme combines advanced coursework, rigorous research and dissertation work. Early coursework builds breadth in topics such as advanced computer architecture, digital system design and verification, VLSI design and fabrication, embedded and real-time systems, networking and distributed systems, computer security, machine learning and signal processing. Students also take seminars and specialty courses that reflect faculty research strengths, and participate in research rotations or laboratory work to identify a dissertation topic.

After completing the required coursework, students demonstrate mastery through qualifying examinations or a research proposal defence and then focus on an original research project under the supervision of a faculty advisor. The PhD culminates in a written dissertation and an oral defence. Throughout the programme students engage in journal and conference publication, attend technical seminars, and often gain teaching experience as graduate instructors or teaching assistants.

Entry requirements

Applicants are normally expected to hold a relevant bachelor’s degree and many applicants present a master’s degree in computer engineering, electrical engineering, computer science or a closely related field. Strong academic performance in undergraduate and any graduate study, evidence of mathematical and programming competence, and prior research experience strengthen an application.

Typical application materials include academic transcripts, a statement of purpose outlining research interests and fit with faculty, a curriculum vitae, letters of recommendation from academic or research mentors, and samples of research work if available. International applicants must meet English language proficiency requirements. Admission is competitive and successful candidates usually demonstrate clear alignment with faculty expertise and the potential to conduct independent research.

Career prospects

Graduates of the programme enter a range of technical and research-oriented careers. Many pursue academic positions as tenure-track faculty or postdoctoral researchers. Others take research scientist or senior engineer roles in industry research labs, semiconductor and hardware companies, and technology firms across Silicon Valley and beyond. Common employer roles include systems architect, chip and silicon designer, embedded systems engineer, machine learning researcher, security researcher, and senior R&D engineer.

Because of Santa Clara’s proximity to a dense technology ecosystem, graduates also move into leadership positions in startups, product management and technical consultancy, or found their own companies to commercialise research outcomes.

Why study at Santa Clara University

Santa Clara University offers a PhD environment that emphasises close mentorship, applied-research relevance and strong links to industry. The university’s location in Silicon Valley provides direct access to technology companies, research labs and entrepreneurs, which supports collaborative projects, internships and potential sponsorship. Faculty are active in areas such as VLSI and microelectronics, cyber-physical systems, robotics, networking, and machine intelligence, offering a range of supervisory expertise.

The programme is delivered within a smaller, multidisciplinary engineering school that values ethical leadership and real-world impact. Students benefit from laboratory facilities, research centres and frequent technical seminars, as well as opportunities to teach, publish and present at conferences. Funding opportunities through research assistantships and departmental support are available to qualified candidates, helping to foster a sustained focus on research and professional development.