MSE in Biomedical Engineering Johns Hopkins Whiting School of Engineering
Our students are practicing engineers from their first day on campus, solving real-world healthcare and engineering challenges through project-based learning. Our curriculum combines classroom instruction and research projects that allow you to specialize in one of six modern BME disciplines based on the pioneering discoveries of our faculty.
Working alongside our faculty and clinical collaborators, you will actively contribute to our mission of scientific discovery, innovation, and translational research that transforms medical practice and improves human health at scale.
About the Program
Spend one year specializing in advanced BME focus areas and solving real-world engineering problems related to human health and disease through project-based courses. Spend an optional second year conducting research with the world’s leading scientists, engineering, and clinicians in one of 3,000 laboratories throughout Johns Hopkins.
Students can specialize in one of the following focus areas:
- AI in Medicine (for medical trainees): over the course of two semesters, this focus area provides medical students, residents, and clinical fellows with the advanced training needed to think critically about topics in data science and to pursue careers in research or development.
- Computational Medicine: this emerging discipline is devoted to the development of quantitative approaches for understanding the mechanisms, diagnosis, and treatment of human disease through applications of mathematics, engineering, and computational science.
- Imaging & Medical Devices: Spanning mathematical fundamentals, physics of imaging technologies, device design and development based on clinical needs, and computational techniques for image processing and analysis.
- Nueroengineering: the main focus of this area is to use engineering tools to modulate central, peripheral, and autonomic nervous systems function. This allows engineers to develop means and tools to define, control, enhance, or inhibit their function selectively, precisely, and in spatial and temporal domains.
- Biomedical Data Science: this focus area provides an educational curriculum that trains students in how to solve problems such as understanding how massive biomedical data sets are best analyzed to discover new knowledge about the function of living systems in health and disease, and how this can be harnessed to provide improved, more affordable healthcare.
- Genomics & Systems Biology: a discipline rooted in biomedical engineering that devotes advanced mathematical and modeling approaches to understanding how the multiple scales that make up the human body maintain health and contribute to disease.
- Immunoengineering: apply engineering methods to quantitatively understand the immune system in clinically-relevant contexts to improve existing therapies and develop new ones.
- Translational Cell & Tissue Engineering: this focus area provides students opportunities to work with faculty who specialize in areas that include biomaterials, bioreactors, gene, and drug delivery, immune engineering, regenerative medicine, and stem cell engineering.
The master’s degree program prepares students to pursue a variety of careers in research, industry, consulting, government, and more. Many of our students also continue their education through Ph.D. or MD/Ph.D. programs. Students are provided theoretical instruction in the traditional engineering disciplines, given exposure to specialized biomedical engineering topics, and have the opportunity through, the “thesis track” degree option, to participate in supervised research projects. In addition to the thesis track, which typically takes two years to complete (one year of coursework plus one year of research), students have the option to complete the MSE degree in one year through coursework specializing in one of seven focus areas.
Medical students, residents, and clinical trainees are eligible for the AI in Medicine focus area. GRE scores are not required for these candidates. Because medical trainees come from diverse educational backgrounds, the AI in Medicine curriculum provides the flexibility required to meet individualized needs.