Northern Arizona University

What you'll study

The programme combines advanced coursework with independent research leading to a doctoral dissertation. Core areas of study typically include algorithms and theory, machine learning and data science, software engineering, computer systems and networking, cybersecurity, human–computer interaction, and high-performance computing. Students take advanced seminars and electives to deepen both theoretical foundations and practical skills.

Typical programme components include:

• Advanced coursework to build breadth and depth across computing and information science topics.
• Research rotations or directed study to identify a dissertation topic and advisor.
• A qualifying or preliminary examination to demonstrate readiness to undertake dissertation research.
• Original dissertation research resulting in a written thesis and public defence.
• Teaching or mentoring experiences, often including instructor-of-record or teaching assistant responsibilities.

Entry requirements

Applicants are ordinarily expected to hold a relevant master’s degree (such as in computer science, information science, or a closely related discipline) or, in some cases, a strong bachelor’s degree with significant research experience. Admissions committees look for evidence of academic preparation in core undergraduate topics (programming, data structures and algorithms, discrete mathematics, and systems), research potential, and fit with faculty research interests.

Typical application materials include:

• Transcripts showing prior degrees in a relevant field.
• A statement of purpose outlining research interests and proposed faculty mentors.
• Letters of recommendation from academic or professional referees who can speak to research ability.
• A curriculum vitae describing research, publications, projects, and technical skills.
• International applicants must demonstrate English language proficiency through an accepted test or equivalent evidence.

Additional information such as GRE scores or professional experience may be considered where relevant; specific expectations can vary by lab and faculty area, so prospective students should contact potential advisors and the department for guidance.

Career prospects

Graduates of the PhD programme pursue a range of careers in academia, industry, and the public sector. Common pathways include:

• University faculty positions focused on teaching and research in computer and information sciences.
• Research scientist or senior engineer roles in industrial R&D labs, technology firms, and startups, working on machine learning, data science, cybersecurity, and systems design.
• Positions in government and national laboratories on applied computing problems, modelling, and secure systems.
• Leadership roles in data-driven product development, technical management, and consultancy where deep technical expertise and research experience are valued.

Alumni typically leverage their dissertation record, publications, and teaching experience to secure competitive postdoctoral appointments or direct entry into senior technical roles.

Why study at Northern Arizona University

Northern Arizona University offers a doctoral environment with interdisciplinary collaboration across informatics, engineering, and applied sciences. Students benefit from access to faculty with active research programmes in areas such as data science, artificial intelligence, cybersecurity, human–computer interaction, and computational modelling.

The Flagstaff campus provides a focused research setting with computing infrastructure and opportunities to work with regional partners and interdisciplinary centres. Small cohort sizes and a collegial department culture support close mentorship, while teaching opportunities develop communication and instructional skills important for academic and industry careers.

Prospective students are encouraged to review faculty profiles and current research projects to identify potential advisors and to contact the department for information on application procedures and available funding or assistantships.