The purpose of this degree program is to produce graduates who are able to identify new discoveries and apply engineering analyzes to develop sustainable solutions to complex engineering problems. An additional goal is to produce graduates who conduct independent cutting-edge research in biosystems engineering and that can clearly communicate research findings to technical and non-technical audiences.

Biomedical Engineering blends traditional engineering techniques with biological sciences and medicine to improve the quality of human health and life. The discipline focuses both on understanding complex living systems – via experimental and analytical techniques – and on development of devices, methods and algorithms that advance medical and biological knowledge while improving the effectiveness and delivery of clinical medicine.

The Ph.D. in Biomedical Engineering is designed to prepare rising scholars and researchers to apply engineering principles to problems in medicine and biology; to understand and model attributes of living systems and to synthesize biomedical systems and devices in order to produce original research.

Students who complete the PhD program will gain knowledge in probability, statistical inference, and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis.

You can research functional genomics, ecological genetics, gene expression profiling at the whole-genome scale, and genetic improvement of trees for sustainable biofuel.

Our world-renowned graduate program provides a select group of highly motivated students the opportunity for research and graduates education in the biomedical sciences, chemistry, and biophysics.

The Ph.D. program will produce biostatisticians who can develop a biostatistical methodology that can be utilized to solve problems in public health and the biomedical sciences. In addition, graduates of the Ph.D. program will be prepared to apply biostatistical and epidemiology methodology for the design and analysis of public health and biomedical research investigations. Finally, graduates of the Ph.D. program will be well suited to function as collaborators or team leaders on research projects in the biomedical and public health sciences. The program requires competency in the theory of statistics and probability, in introductory and advanced biostatistical methods and theory, and in fundamentals of epidemiologic study design. The doctoral dissertation will be the culminating experience in the Ph.D. program. Graduates of the doctoral program will have written a doctoral dissertation that focuses on the development of a new methodology or on the innovative application of biostatistical methods to a health sciences research problem. Graduates of the Ph.D. program will be in a position to: Demonstrate an increased level of knowledge and understanding of current statistical theory, methods, and practices in the health sciences. Develop new statistical methods. Design, manage data, analyze and interpret data from a variety of experimental and observational studies. Communicate research findings, including new statistical methods developed, effectively to various audiences in writing and through oral presentation The goals of the Ph.D. program are to train students in the application of appropriate statistical methods for diverse problems in medicine and public health and to provide a solid theoretical foundation for the development and investigation of new statistical methods. In addition to the formal statistical training, students will have adequate flexibility in choosing statistical and non-statistical electives to tailor their curriculum towards a specific application area such as genetics, epidemiology, or environmental health.