University of Cincinnati

What you'll study

This doctoral programme blends advanced study in human anatomy and medical visual communication with rigorous training in informatics, data visualisation and computational methods. Students follow a research-led curriculum that typically includes advanced anatomy and physiology for visualisers, medical illustration theory and practice, 3D modelling and animation, interaction and user-centred design, information visualisation, biomedical data analytics, machine learning applications in visualisation, and research methods and statistics.

Structure commonly includes a period of formal coursework to build disciplinary depth, supervised laboratory rotations or practicum placements within clinical or research units, a qualifying examination or portfolio review, and a sustained independent research project culminating in a doctoral dissertation. Students are expected to develop a substantial portfolio of visual work alongside peer-reviewed publications and conference presentations.

• Core subjects: advanced anatomy for artists, medical illustration techniques, visual communication theory, ethics in medical visualisation
• Informatics and computation: biomedical informatics, data visualisation, 3D and VR/AR visualisation workflows, image processing
• Research skills: experimental design, statistics, human-computer interaction, usability testing
• Professional practice: project management, grant writing, pedagogy for higher education

Entry requirements

Applicants are normally expected to hold a relevant master’s degree or a strong bachelor’s degree with substantial professional or research experience in fields such as medical illustration, biomedical visualisation, informatics, computer science, biomedical engineering, graphic design or a closely related area. A demonstrable portfolio of visual work is required for assessment of technical and conceptual skills.

Typical application materials include academic transcripts, a CV, a research statement outlining proposed doctoral research, a portfolio of illustrative and visualisation work, and at least two academic or professional references. Candidates whose first language is not English will need to meet the university's English language proficiency requirements.

Admissions committees look for evidence of research potential, technical competence with relevant software and technologies, and clear alignment between an applicant’s research interests and faculty expertise. Some applicants will be invited to interview and to discuss their portfolio and research plans.

Career prospects

Graduates from this interdisciplinary PhD are prepared for careers in academia and research, where they can lead labs in biomedical visualisation, medical informatics or human-centred computing. Other common career paths include senior medical illustrator or visualisation specialist roles in university medical centres and hospitals, clinical education and simulation centres, pharmaceutical and medical device companies, digital health and health-tech startups, and museums or educational publishers.

PhD holders are also competitive for roles in user-experience and interaction design focused on healthcare applications, data visualisation for clinical decision support, regulatory and legal illustration, and leadership positions that require both deep domain knowledge and advanced technical skills such as 3D imaging, VR/AR development and machine-learning-driven visualisation.

Why study at University of Cincinnati

The University of Cincinnati offers a strong interdisciplinary environment for this field, with collaborations across the College of Design, Architecture, Art, and Planning (DAAP), the College of Medicine, and related engineering and informatics units. Students benefit from access to clinical teaching hospitals, biomedical research groups and specialised facilities such as visualization and simulation labs, advanced imaging suites and 3D fabrication studios.

Faculty supervision typically spans both visual communication and computational informatics expertise, enabling project partnerships with clinicians and scientists. The university’s emphasis on applied, translational research helps students pursue projects with direct clinical or educational impact, while institutional support for interdisciplinary centres and grants can assist doctoral research and professional development.

Finally, students can build a professional portfolio through practicum placements, collaborative grant-funded projects and opportunities to teach or mentor in undergraduate and graduate courses, preparing them for a range of research and leadership roles after graduation.