Colorado State University

What you'll study

The PhD programme is centred on original research guided by a faculty advisor and normally includes advanced coursework, seminars, and a dissertation. Core topics available for study and research include artificial intelligence and machine learning, cybersecurity and privacy, high-performance and parallel computing, data science and big data analytics, computer vision and robotics, human–computer interaction, software engineering, and computational biology.

Typical elements of the curriculum include:

• Advanced graduate coursework in specialised areas of computer and information sciences to build depth and breadth.
• Graduate research seminars and colloquia to present and critique ongoing research.
• A qualifying or preliminary examination to demonstrate readiness for doctoral research (programme-specific format varies by advisor and area).
• Original dissertation research culminating in a written thesis and oral defence.
• Opportunities for teaching or serving as a graduate teaching assistant to develop instructional skills.

Entry requirements

Applicants are expected to hold a strong undergraduate degree in computer science, information systems, engineering, mathematics, or a closely related discipline; many successful applicants hold a master's degree with research experience. Key components of a competitive application include academic transcripts, a curriculum vitae, a statement of research interests, and multiple letters of recommendation that comment on research potential.

International applicants must demonstrate English proficiency through recognised testing or institutional waivers where applicable. Admissions committees evaluate candidates for prior coursework in foundational topics (algorithms, systems, programming, discrete mathematics) and for evidence of research aptitude such as publications, research projects, or strong recommendation letters. Specific documentation or test requirements may vary by programme and funding consideration.

Career prospects

Graduates from the PhD programme pursue a range of careers in academia, industry and government. Common pathways include tenure-track faculty positions, research scientist or research engineer roles in corporate R&D labs, leadership roles in data science and machine learning teams, senior software engineering positions focused on innovation, and technical roles within government laboratories or national research centres. The PhD also prepares graduates for founding or advising technology startups and for policy or consultancy roles that require deep technical expertise.

Why study at Colorado State University

Colorado State University offers a research-rich environment with faculty working across a variety of computing and information science subfields. Students benefit from close faculty mentorship, interdisciplinary collaboration across colleges, and access to university research infrastructure and high-performance computing resources. The Fort Collins location provides proximity to a vibrant Colorado Front Range technology ecosystem and opportunities for collaboration with regional industry and federal research organisations.

Doctoral students at CSU typically receive professional development support through the Graduate School, including funding opportunities, teaching training, and workshops on research communication and career preparation. The programme emphasises both rigorous scholarship and real-world impact, helping graduates move into research and leadership roles in academia, industry and the public sector.