Upon graduation, our students are:

  • Prepared for professional practice in entry-level biomedical engineering positions or to pursue graduate study in engineering, medicine, and other professional degree programs through rigorous instruction in the engineering sciences and biology, including laboratory and design experience.
  • Prepared for a variety of careers resulting from the opportunity to deepen their technical understanding in a particular subject via a program of related technical electives and from the development of teamwork, communication, and other non-technical skills.


Graduates of the Biomedical Engineering Department at the University of Michigan will have been exposed to or will have gained:

  1. An ability to apply knowledge of mathematics, science, and engineering to biomedical engineering problems [ABET : 3a].
  2. An ability to design and conduct experiments, as well as to analyze and interpret data [ABET : 3b].
  3. An ability to design a system, component, or process to meet desired needs [ABET : 3c].
  4. An ability to function on multi-disciplinary teams [ABET : 3d].
  5. An ability to identify, formulate, and solve engineering problems [ABET : 3e].
  6. An understanding of professional and ethical responsibility [ABET : 3f].
  7. An ability to communicate effectively orally and in writing [ABET : 3g].
  8. The broad education necessary to understand the impact of engineering solutions in a global and societal context [ABET : 3h].
  9. A recognition of the need for, and an ability to engage in life-long learning [ABET: 3i].
  10. A knowledge of contemporary issues [ABET : 3j].
  11. An ability to use the techniques, skills, and modern engineering and computing tools necessary for engineering practice [ABET : 3k].
  12. A knowledge of biology and physiology [Program : 1].
  13. The capability to apply advanced mathematics (including differential equations and statistics), science, and engineering to solve the problems at the interface of engineering and biology.
  14. An ability to make measurements on and interpret data from living systems, addressing the problems associated with the interaction between living and non-living materials and systems.