PhD Biomedical and Health Informatics at Case Western Reserve University

Programme overview

The PhD in Biomedical and Health Informatics is a full-time, research-oriented programme for clinicians, computer scientists, biostatisticians, basic scientists and data scientists. It has three themes: data analytics using statistical methods, biomedical research, and computing and data science, with a focus on artificial intelligence research, using the resources of four Cleveland hospital systems.

Faculty: School of Medicine | Department: Population and Quantitative Health Sciences | Duration: 54 credit hours; full-time, research-oriented (sample plan spans four years) | Intake: Fall; deadline 1 December 2026 for Fall 2027 | Study mode: full-time | Location: Cleveland, OH, United States

What you will study

Core courses include Introduction to Data Structures and Algorithms in Python, AI in Medicine, Statistical Methods I and II and Epidemiology, plus domain courses in computation and system design and data analytics, research ethics and communication courses, electives, a research seminar and dissertation research.

Career pathways

Prepares graduates for careers in industry, academia, health care and government.

Official programme page

Application information

Entry requirements

Online application with statement of purpose addressing interest in biomedical and health informatics, $85 application fee, a bachelor's degree from an accredited institution (complete before enrolment), unofficial transcripts, current resume/CV and three letters of recommendation. GRE, MAT, MCAT, LSAT, DACT or GMAT scores are optional. International applicants submit TOEFL, IELTS or PTE results. PhD application deadline for Fall 2027 is 1 December 2026.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Intake: Fall; deadline 1 December 2026 for Fall 2027

Duration: 54 credit hours; full-time, research-oriented (sample plan spans four years)

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