Florida International University

USA
6 Scholarships 328 Programs 3 Degree levels
PhD

PhD in Computer and Information Sciences

DegreePhD
FieldComputer and Information Sciences, General.
B

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

You borrow $16,500 median federal debt
You repay $188/mo over 10 years
Graduates earn $60,249 10 yrs after entry
Debt clears in 0.8 yrs of the salary premium
US Department of Education figures See the full breakdown →

The PhD in Computer and Information Sciences at Florida International University is a research-led doctoral programme designed for students who want to advance core and interdisciplinary knowledge in computing and information systems. It suits applicants aiming for careers in academic research, industrial R&D, or leadership roles that require deep expertise in areas such as machine learning, cybersecurity, data science and networking.

What you'll study

The programme combines advanced coursework, independent research and a doctoral dissertation. Early years focus on core topics and research preparation through modules in algorithms and theory, advanced operating systems, machine learning and artificial intelligence, database systems and data management, computer and network security, software engineering, and human–computer interaction. Students typically take a mix of required and elective seminars tailored to their research area and complete a qualifying examination or candidacy milestone before advancing to full-time dissertation research.

Research training emphasises methodological depth and publication in peer-reviewed venues. Typical components include research seminars, graduate-level electives, participation in research group meetings, teaching or mentoring experience, and the preparation and defence of an original doctoral dissertation. Interdisciplinary projects drawing on statistics, electrical engineering, information studies, and domain sciences are common.

Entry requirements

  • Relevant master's degree or equivalent in computer science, information systems, engineering, or a closely related field; outstanding candidates with a strong bachelor’s degree may be considered.
  • A strong academic record in previous university study; admissions committees look for evidence of quantitative ability and prior coursework in core computing subjects.
  • A statement of purpose describing research interests and potential faculty collaborators, a current CV, and at least two academic letters of recommendation.
  • Demonstrated research potential, such as prior publications, research assistant experience, substantial project work, or relevant industry R&D experience, is highly desirable.
  • Proof of English language proficiency for applicants whose first language is not English (accepted tests and minimum scores follow university policy).
  • Standardised test requirements (such as the GRE) may vary by year or applicant; consult the department for current policy.

Career prospects

Graduates with a PhD in Computer and Information Sciences pursue a range of careers. Common destinations include tenure-track academic positions, postdoctoral research, corporate research and development labs, and technical leadership roles in software, data science and AI teams. Other paths include roles in cybersecurity operations and research, systems architecture, high-performance computing, and startup technical leadership. The degree also prepares graduates for positions in government and non-profit research organisations where advanced analytical and research skills are required.

Why study at Florida International University

  • Strong research environment within the College of Engineering and Computing, with active faculty groups in machine learning, cybersecurity, data science, networking, software engineering and human–computer interaction.
  • Opportunities to collaborate on interdisciplinary projects and to engage with industry partners and regional research centres, providing applied research and internship possibilities.
  • Access to research infrastructure and computing resources to support large-scale experiments and data-intensive studies, plus mentorship from faculty with established publication records.
  • Funding options commonly include teaching and research assistantships that provide stipend support and tuition coverage for qualified PhD students; students are encouraged to pursue external fellowships as well.
  • Location benefits from a diverse metropolitan setting with a growing tech ecosystem, which can aid networking, internships and employment opportunities in both local and international companies.

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