University of Tulsa

What you'll study

The PhD in Computer Engineering combines advanced coursework, qualifying examinations, and sustained original research under faculty supervision. Early in the programme you will take advanced courses that build depth in core areas such as computer architecture, embedded systems, VLSI and digital design, advanced operating systems, networking and communications, real-time and cyber-physical systems, and graduate-level machine learning and signal processing.

• Core and elective coursework: Advanced seminars and problem-solving courses to establish a strong theoretical and practical foundation in chosen specialisms.
• Research rotations and proposal: Opportunities to work with faculty on funded projects, leading to a written dissertation proposal and oral qualifying examination.
• Dissertation research: Independent, original research supervised by a faculty adviser, resulting in a written dissertation and public defence.
• Professional development: Teaching experience (where available), research presentations, and opportunities to publish in peer-reviewed conferences and journals.

Entry requirements

Applicants are normally expected to hold a recognised master’s degree in computer engineering, electrical engineering, computer science or a closely related discipline. Strong applicants with a bachelor’s degree and exceptional preparation may also be considered.

• Academic transcripts: Demonstrated academic excellence in relevant undergraduate and graduate coursework.
• Research experience: Prior research, project work or publications strengthen an application; a clear statement of research interests is important.
• References: Multiple academic references (usually two or three) who can assess research potential and readiness for doctoral work.
• Supporting documents: Curriculum vitae, statement of purpose outlining research goals, and a writing sample or research proposal if available.
• English language: For applicants whose first language is not English, an approved English proficiency test or equivalent evidence of proficiency is required.
• Admissions review: The department evaluates fit with faculty research areas and the availability of faculty supervision and funding; some applicants may be invited to interview.

Career prospects

Graduates of the PhD programme move into academic, industrial and government research careers. Typical paths include tenure-track faculty positions, research scientist or research engineer roles in industry R&D, senior systems architect or technical lead positions, and specialist roles in areas such as embedded systems, semiconductor design, networking, cybersecurity and machine learning.

• Academia and research institutions: Postdoctoral positions and faculty appointments teaching and supervising new researchers.
• Industry R&D: Roles in corporations, startups and national laboratories developing advanced hardware and software systems.
• Technical leadership: Senior engineering, architecture and management positions that guide product roadmaps and complex systems development.
• Consultancy and entrepreneurship: Advising organisations on specialised technical challenges or founding technology-driven enterprises.

Why study at University of Tulsa

The University of Tulsa offers a doctoral environment with close faculty mentorship, small cohort sizes and hands-on access to specialised laboratories and equipment. The department emphasises collaboration across disciplines, enabling students to work on applied problems with faculty in areas such as embedded systems, communications and power-efficient design.

• Faculty supervision: Direct mentorship from faculty engaged in funded research projects, facilitating meaningful dissertation topics and publication opportunities.
• Facilities and partnerships: Access to modern lab facilities and opportunities to collaborate with regional and national industry partners.
• Professional preparation: Emphasis on presenting and publishing research, teaching experience, and career development to prepare graduates for both academic and industrial roles.
• Supportive community: A focused, research-oriented environment that supports interdisciplinary work and individual student progress through the doctoral milestones.