University of Virginia

USA
1 Scholarships 153 Programs 3 Degree levels
PhD

PhD in Biomedical

Offered at University of Virginia, USA
DegreePhD
FieldBiomedical/Medical Engineering.
A

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

You borrow $17,500 median federal debt
You repay $199/mo over 10 years
Graduates earn $86,863 10 yrs after entry
Debt clears in 0.4 yrs of the salary premium
US Department of Education figures See the full breakdown →
C

Engineering-Related Technology graduates earn a median $57,318 Across 30 US programmes, two years after finishing

See the degree grade →

The PhD in Biomedical Engineering at the University of Virginia is a research-led doctoral programme that trains students to advance engineering solutions for biological and medical problems. It suits students with a strong quantitative background who want to pursue independent, interdisciplinary research in areas such as biomaterials, biomechanics, imaging and neural engineering.

What you'll study

The PhD programme emphasises original research supported by a structured curriculum to build depth in core engineering skills and breadth across life sciences. Early-stage coursework typically covers advanced topics such as biomaterials and tissue engineering, biomechanics, biomedical imaging and signal processing, quantitative physiology, and computational methods for biological systems. Students also take classes in statistics, experimental design and ethics relevant to human and animal studies.

Beyond formal courses, students engage in laboratory rotations or join a research group, complete a qualifying examination or research proposal, and carry out an extended independent research project culminating in a doctoral dissertation. Regular seminar series, journal clubs and interdisciplinary workshops connect biomedical engineering with clinical collaborators and other engineering disciplines.

  • Typical taught subjects: biomaterials and regenerative medicine; biomechanics and mechanobiology; biomedical imaging and instrumentation; neural engineering and neurotechnologies; computational biology and systems modelling; medical device design and translation.
  • Research training: laboratory techniques, experimental design, advanced data analysis, grant writing, teaching experience and peer-reviewed publication.
  • Structure: combination of coursework, qualifying assessment, research rotations, dissertation research and defence.

Entry requirements

Applicants are normally expected to hold a strong undergraduate or master’s degree in biomedical engineering, bioengineering, engineering, physics, mathematics, computer science, or a related quantitative field. A solid foundation in mathematics, basic engineering principles and biological sciences is important.

  • Academic record: competitive academic performance in prior degrees (transcripts required).
  • Research experience: prior laboratory or project experience in a relevant area is highly desirable and typically demonstrated in the personal statement and letters of recommendation.
  • Supporting documents: statement of purpose outlining research interests, curriculum vitae, and at least three academic or professional references.
  • English language proficiency: required for applicants whose first language is not English; accepted proofs vary (check the programme admissions guidance).
  • Other considerations: some applicants may have a master’s degree, while others are admitted directly from a bachelor’s degree; admissions committees look for fit with faculty research areas and available supervision.

Career prospects

Graduates of the PhD programme pursue careers across academia, industry and the public sector. Typical paths include tenure-track academic positions, postdoctoral research roles, and research scientist or engineering positions in medical device, biotechnology and pharmaceutical companies. Graduates also work in translational research centres, clinical research organisations, regulatory agencies, national laboratories, and technology start-ups. The programme’s emphasis on interdisciplinary collaboration and translational skills prepares graduates for leadership roles in research and product development.

Why study at University of Virginia

The University of Virginia offers an environment that blends strong engineering fundamentals with close ties to clinical and life-science collaborators. The School of Engineering and Applied Science provides cross-disciplinary research opportunities and access to shared facilities and core laboratories that support imaging, biomaterials, biomechanics and computational research. Students benefit from collaborative centres and research groups that span engineering, medicine and science, enabling translational projects and clinical partnerships. Faculty mentorship, a collegial graduate community and professional development resources help prepare students for research careers and broader leadership roles in biomedical engineering.

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