Chapman University

What you'll study

This PhD programme combines advanced coursework with an extended original research project leading to a doctoral dissertation. Core study areas typically include advanced algorithms and theory, data management and database systems, machine learning and data science, human–computer interaction and information behaviour, information retrieval, cybersecurity and privacy, and socio-technical aspects of information systems. Students follow a programme of seminars and specialised electives to build depth in one or more research concentrations, and engage in regular research colloquia and lab work.

Programme structure normally comprises an initial phase of taught courses to establish research foundations, qualifying or comprehensive examinations to confirm doctoral candidacy, supervised research under a primary advisor and committee, and the preparation and defence of a dissertation. Students also gain experience through teaching assistantships, participation in grant-funded projects, conference presentations and peer-reviewed publications.

Entry requirements

Applicants are expected to hold a relevant master's degree or a strong bachelor's degree with substantial computing or information-science preparation. Typical requirements include:

• A degree in computer science, information science, data science, software engineering, or a closely related field.
• A record of academic excellence and evidence of research potential, shown by transcripts, thesis work or technical publications where applicable.
• A research statement outlining proposed areas of doctoral research and fit with faculty expertise.
• Letters of recommendation from academic or professional referees who can attest to research potential.
• A current CV/resume and samples of written or technical work; a prior master's thesis is a strong advantage.
• For applicants whose first language is not English, proof of proficiency in English is required.

Standardised test scores (such as the GRE) may be considered according to department policy but are not the sole determinant of admission. Selection places emphasis on research fit with faculty, demonstrated ability to carry out independent work, and potential to contribute to the programme.

Career prospects

Graduates of a PhD in Computer and Information Sciences and Support Services pursue careers across academia, industry research labs and leadership roles in technology-driven organisations. Common career paths include university faculty and postdoctoral positions, research scientist or senior engineer roles in corporate R&D and start-ups, data scientist and machine-learning engineer positions, technical leadership and chief information officer roles, and specialist consultancy in information systems, privacy and security. The programme also prepares graduates for roles in public-sector research, non-profit organisations and interdisciplinary teams addressing large-scale socio-technical challenges.

Why study at Chapman University

Chapman University offers doctoral students a personalised research environment within its science and technology faculty, with comparatively small cohorts that enable close mentorship from faculty researchers. Students benefit from access to specialised labs and computing resources, interdisciplinary collaboration across departments, and opportunities to engage with industry partners in the Orange County and greater Southern California tech ecosystem. The university emphasises experiential training through teaching, grant-supported projects and conference participation, while student support services and career development resources help doctoral candidates transition into academic and professional roles.