25 Best Biomedical Engineering PhD Degree Programs in United States of America (USA) for 2024

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.

With this graduate program, you’ll develop the high-level knowledge and skills to be a vital contributor in the rapidly growing field of medical devices.

Graduates with a master’s in applied mathematics can expand their subject matter expertise by choosing a Ph.D. in applied mathematics at Florida Tech. As one of only 30 applied for mathematics programs in the United States, Florida Tech’s doctoral program offers several specializations in the field, including nonlinear analysis, stochastic analysis, optimization, numerical analysis, scientific computing, and statistics.

The biomedical and chemical engineering Ph.D. program provides you with the knowledge, training, and expertise to tackle important problems in the industry, academia, government, and health care. In the biomedical and chemical engineering Ph.D. program, you will complete a number of classes in your first two years of study, including foundational courses with other engineering doctorate students, discipline-specific courses within biomedical and chemical engineering, and elective courses you select with your research advisor. You will complete a research thesis project with your faculty advisor in their lab and may have the opportunity to complete a complementary industrial co-op or internship. You will graduate from the program as a highly skilled researcher who is well-positioned to be a leader in the next generation of engineers who will help tackle the challenging and complex problems facing our society.

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields.

The Statistics Ph.D. degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience, in theory, methodology, and applications of statistics. During their study, Ph.D. students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.

Our department fosters a supportive environment through hands-on instruction while promoting the proficiency needed to prepare students for a wide range of career possibilities. Particular strengths as a department include computational and applied mathematics. The department offers M.S. and Ph.D. degrees in computational and applied mathematics.

The Department of Statistical Science began offering a Ph.D. in Statistical Science in 1968. Since that time it has awarded over 185 Ph.D. degrees. The courses in the Ph.D. curriculum in Statistical Science at SMU provide our students with the strong theoretical foundation in mathematics, statistical inference, and probability needed for students pursuing a research-oriented Ph.D. degree.

The Neuroscience Graduate Program (NGP) at UTMB established in 1981 was the first Ph.D. program in neuroscience in Texas. The rich interdisciplinary program of course work and research provides an internationally competitive education that enhances a trainee's ability to become a scholarly and productive contributor to our knowledge of nervous system function and disease mechanisms.

The optional Ph.D. bioengineering emphasis is open to all doctoral students currently enrolled at the University of California Santa Barbara in one of the 13 participating engineering and/or science departments and programs.

The Department of Mathematics takes seriously three aspects of mathematics within its graduate training: 1) Applied Mathematics: mathematicians help directly in the solution of problems which arise in other areas of human endeavor, 2) Mathematical Education: training others how to develop solutions on their own, and 3) Pure Mathematics: they expand the reach and clarify the understanding of mathematical thought itself.

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.

The Integrated Applied Mathematics (IAM) Ph.D. is a unique applied mathematics program designed to facilitate interdisciplinary research among graduate students and participating faculty. This interdisciplinary program allows students to explore the frontier where the sciences meet cutting-edge mathematical analysis and high-performance computing.

This program prepares students for the proper use and application of advanced statistics and evaluation procedures, specifically applied in the social and behavioral disciplines of education, psychology, counseling and other related fields. Our graduates are prepared for educational research and evaluation positions in schools, government agencies, private corporations and foundations, colleges and universities, research institutions and national testing centers.

The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an...

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.

The doctor of philosophy in bioengineering prepares students for bioengineering careers in industry, government, or academia. An advanced degree in this area provides numerous opportunities to work in health care, the biomedical industry, government regulatory agencies, and academia.

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.

Biomedical engineering involves the application of engineering principles and methods to define and solve problems in medicine and biology. The objective of the Ph.D. in Biomedical Engineering program is to produce graduates who can identify future applications in the field, analyze current technology capability, and synthesize new solutions that extend the state of the art in biomedical applications.

The Ph.D. in Engineering provides maximum flexibility for students to address 21st-century challenges through their studies and research.