University of Memphis

USA
1 Scholarships 115 Programs 3 Degree levels
PhD

PhD in Computer Science

Offered at University of Memphis, USA
DegreePhD
FieldComputer Science.
D

Cost & earnings at University of Memphis What students borrow here, and what they go on to earn

You borrow $23,300 median federal debt
You repay $265/mo over 10 years
Graduates earn $48,458 10 yrs after entry
Debt clears in 2.6 yrs of the salary premium
US Department of Education figures See the full breakdown →

The PhD in Computer Science (Applied Computer Science) at the University of Memphis is a research-focused doctoral programme designed for students who wish to advance knowledge and develop novel solutions across applied areas of computing. It suits candidates aiming for careers in academic research, industrial R&D, or technical leadership where deep expertise in algorithms, systems, machine learning, security or data science is required.

What you'll study

The PhD in Applied Computer Science combines advanced coursework, original research, and professional training. Students complete a core of graduate-level courses to build breadth in theory and systems, then specialise through electives and research seminars. Typical subject areas include machine learning and data mining, artificial intelligence, computer vision, cybersecurity and information assurance, high-performance and distributed computing, networks and communications, software engineering, databases and information retrieval, and bioinformatics.

Programme structure commonly involves:

  • Advanced coursework in computer science fundamentals and chosen specialisms.
  • Research seminars and colloquia to present and critique current work.
  • Qualifying examinations or milestone assessments to demonstrate preparedness for dissertation research.
  • Independent research under supervision, culminating in a doctoral dissertation that makes an original contribution to applied computing.
  • Opportunities for teaching experience through graduate assistantships and for collaborative projects with faculty and industry partners.

Typical modules and topics you may encounter include advanced algorithms, statistical learning, deep learning architectures, network security, secure software development, distributed systems, performance analysis, database systems, computational biology, and practicum-style applied research projects.

Entry requirements

Applicants are expected to hold a relevant master’s degree (such as an MS in Computer Science or a closely related discipline) or an outstanding bachelor’s degree with sufficient preparation. A strong background in core computing areas — programming, data structures and algorithms, mathematics (calculus, linear algebra, probability/statistics) — is required.

Application materials typically include:

  • Official transcripts from all post-secondary institutions attended.
  • A statement of purpose describing research interests and career goals.
  • Curriculum vitae or résumé detailing academic and relevant professional experience.
  • Letters of recommendation from academic or professional referees familiar with your research potential.
  • Examples of prior research or publications, if available, and a preliminary research plan or list of potential faculty supervisors.
  • Evidence of English language proficiency for international applicants, where applicable.

Admissions decisions are based on academic preparation, research potential, fit with faculty expertise, and the availability of faculty advisers or funding. Some applicants may be asked to demonstrate readiness through interviews or written assessments.

Career prospects

Graduates of the PhD in Applied Computer Science pursue careers in academia, industry research labs, government and national laboratories, and technology-focused startups. Common roles include university faculty and researchers, principal or senior research scientists, data scientists and machine learning engineers, security architects and analysts, software architects for large-scale systems, and technical leads in R&D organisations.

The programme prepares graduates for competitive postdoctoral positions and for leadership roles where advanced research, cross-disciplinary collaboration, and the ability to translate research into deployed systems are required. Graduates also frequently work with industry partners on applied projects in domains such as healthcare informatics, logistics and supply chain analytics, cybersecurity, and intelligent systems.

Why study at University of Memphis

The University of Memphis offers a research-intensive environment with faculty whose expertise spans both theoretical foundations and practical applications. The department’s links with campus research institutes and local industry provide opportunities for interdisciplinary collaboration and applied projects. Doctoral students can access research facilities, high-performance computing resources, and support for grant-funded projects.

Located in a city with a growing technology and logistics sector, the university benefits from regional partnerships that can lead to internships, collaborative research, and technology transfer. Graduate assistantships and fellowships are available to many admitted students, providing a path to financial support while gaining teaching and research experience. Overall, the University of Memphis emphasises mentorship, close faculty-student collaboration, and preparation for impactful careers in applied computer science.

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Programme details are indicative and may change — always verify current information with the official university website before applying.