All Applied Biomedical Engineering students must choose a focus area and satisfy course requirements associated with that focus area for degree completion. Students may define a focus area selection for degree completion at any time during their enrollment in the program, but selection early in their enrollment is recommended to guide their course selections.
Admission Requirements
Applicants (degree seeking and special student) must meet the general requirements for admission to graduate study, as outlined in the Admission Requirements section.
Applicants are expected to hold a degree in engineering in order to be admitted to the Master of Science in Applied Biomedical Engineering program. Those who majored in a related science or engineering field may also be accepted as candidates, provided their background is judged by the admissions committee to be equivalent to that stated above. Applicant's prior education should include the following prerequisites:
- mathematics, through ordinary differential equations
- calculus-based physics
- chemistry
- signals and systems
Applicants whose prior education does not include the prerequisites listed above may still enroll under provisional status, followed by full admission status once they have completed the missing prerequisites. All prerequisite courses may be completed at Johns Hopkins Engineering or at another regionally accredited institution. Admitted students typically have earned a grade point average of at least 3.0 on a 4.0 scale (B or above) in the latter half of their undergraduate studies. Transcripts from all college studies must be submitted. When reviewing an application, the candidate’s academic and professional background will be considered. Students who wish to refresh their knowledge may also take the prerequisite courses.
Program Requirements
Ten courses must be completed within five years. Students are required to choose a focus area to follow. The curriculum consists of five core courses; two biology/physiology courses, one math-based course, and one core and one other course from the chosen focus area. Students must choose five electives. At least four of the ten courses must be at the 700-level or higher. Electives may be substituted for the required core courses if the student has previously completed equivalent graduate-level courses or can demonstrate competency. Electives may be from the Applied Biomedical Engineering (585.xxx) program or from the Department of Biomedical Engineering (580.xxx) in the full-time program, or preapproved courses listed under the electives. Students may take courses from other programs following approval by the Applied Biomedical Engineering chair or vice chair. All course selections outside of the Applied Biomedical Engineering program requirements are subject to advisor approval.
Courses
| Code | Title | Credits |
|---|---|---|
| Undergraduate Courses (or approved equivalent) | Credits | |
| EN.625.108 | Calculus I | 0 |
| EN.625.109 | Calculus II | 0 |
| EN.625.250 | Multivariable Calculus and Complex Analysis | 3 |
| EN.625.251 | Introduction to Ordinary and Partial Differential Equations | 3 |
| EN.525.202 | Signals and Systems | 3 |
| or EN.625.260 | Introduction to Signals and Systems | |
| EN.625.201 | General Applied Mathematics | 3 |
Applicants whose prior education does not include the prerequisites listed under Admission Requirements may still enroll under provisional status, followed by full admission once they have completed the missing prerequisites. These courses do not count toward the degree or certificate requirements.
Core Courses
| Code | Title | Credits |
|---|---|---|
| Courses | Credits | |
| Select two of the following to demonstrate biology/physiology proficiency: 1 | ||
| EN.585.601 | Physiology for Applied Biomedical Engineering I | 3 |
| EN.585.602 | Physiology for Applied Biomedical Engineering II | 3 |
| EN.585.607 | Molecular Biology | 3 |
| EN.585.685 | Methods in Neurobiology | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| Select one of the following to demonstrate math proficiency: 2 | ||
| EN.585.615 | Mathematical Methods | 3 |
| EN.535.641 | Mathematical Methods For Engineers | 3 |
| EN.615.641 | Mathematical Methods for Physics and Engineering | 3 |
| EN.585.642 | Network Science for Biomedical Engineers | 3 |
| EN.585.703 | Applied Medical Image Processing | 3 |
| EN.585.704 | Principles of Medical Imaging | 3 |
| EN.585.709 | Biomechanics of Cells and Stem Cells | 3 |
| EN.585.718 | Biological Solid & Fluid Mechanics | 3 |
| EN.585.721 | Neural Data Science for Biomedical Engineers | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.741 | MR Imaging in Medicine | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.535.661 | Biofluid Mechanics | 3 |
| EN.535.663 | Biosolid Mechanics | 3 |
| EN.605.647 | Neural Networks | 3 |
| Focus Areas | ||
| Select one of the following: | ||
| Biomechanics | ||
| Imaging | ||
| Medical Devices | ||
| NeuroEngineering | ||
| Translational Tissue Engineering | ||
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With advisor approval, BME undergraduate degree recipients may waive this requirement if they have previously covered this material. However, any waived courses must be replaced with an elective course.
- 2
With advisor approval, students may waive this requirement if they have previously covered this material. However, any waived courses must be replaced with an elective course.
Courses by Focus Area
The focus areas offered represent related groups of courses that are relevant for students with interests in the selected areas. Students are required to choose a focus area to follow. The focus areas are presented as an aid to students in planning their course schedules and are only applicable to students seeking a master’s degree. They do not appear as official designations on a student’s transcript or diploma.
BIOMECHANICS
| Code | Title | Credits |
|---|---|---|
| Core option | Credits | |
| EN.585.631 | Introduction to Biomechanics | 3 |
| or EN.585.720 | Orthopedic Biomechanics | |
| Select at least one of the following: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.709 | Biomechanics of Cells and Stem Cells | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.718 | Biological Solid & Fluid Mechanics | 3 |
| EN.585.726 | Biomimetics in Biomedical Engineering | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.585.746 | Biochemical and Cellular Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.751 | Immunoengineering | 3 |
| EN.585.761 | Bioentrepreneurship | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.535.661 | Biofluid Mechanics | 3 |
| EN.535.663 | Biosolid Mechanics | 3 |
Imaging
| Code | Title | Credits |
|---|---|---|
| Core Course | Credits | |
| EN.585.704 | Principles of Medical Imaging | 3 |
| Select at least one of the following: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.616 | Principles of Medical Instrumentation and Devices | 3 |
| EN.585.703 | Applied Medical Image Processing | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.719 | Sparse Representations in Computer Vision and Machine Learning | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.741 | MR Imaging in Medicine | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.746 | Biochemical and Cellular Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.761 | Bioentrepreneurship | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
Medical devices
| Code | Title | Credits |
|---|---|---|
| Core Courses | Credits | |
| EN.585.613 | Medical Sensors & Devices | 3 |
| or EN.585.616 | Principles of Medical Instrumentation and Devices | |
| Select at least one of the following: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.617 | Rehabilitation Engineering | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.642 | Network Science for Biomedical Engineers | 3 |
| EN.585.719 | Sparse Representations in Computer Vision and Machine Learning | 3 |
| EN.585.720 | Orthopedic Biomechanics | 3 |
| EN.585.721 | Neural Data Science for Biomedical Engineers | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.734 | Biophotonics | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.761 | Bioentrepreneurship | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
neuroengineering
| Code | Title | Credits |
|---|---|---|
| Core Course | Credits | |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| Select at least one of the following: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.642 | Network Science for Biomedical Engineers | 3 |
| EN.585.685 | Methods in Neurobiology | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.721 | Neural Data Science for Biomedical Engineers | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.734 | Biophotonics | 3 |
| EN.585.761 | Bioentrepreneurship | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
| EN.605.613 | Introduction to Robotics | 3 |
| EN.605.647 | Neural Networks | 3 |
Translational Tissue Engineering
| Code | Title | Credits |
|---|---|---|
| Core Course | Credits | |
| EN.585.729 | Cell and Tissue Engineering | 3 |
| Select at least one of the following: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.617 | Rehabilitation Engineering | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.631 | Introduction to Biomechanics | 3 |
| EN.585.708 | Biomaterials | 3 |
| EN.585.709 | Biomechanics of Cells and Stem Cells | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.718 | Biological Solid & Fluid Mechanics | 3 |
| EN.585.720 | Orthopedic Biomechanics | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.726 | Biomimetics in Biomedical Engineering | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.585.746 | Biochemical and Cellular Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.751 | Immunoengineering | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
Electives
| Code | Title | Credits |
|---|---|---|
| Courses | Credits | |
| EN.585.613 | Medical Sensors & Devices | 3 |
| EN.585.616 | Principles of Medical Instrumentation and Devices | 3 |
| EN.585.617 | Rehabilitation Engineering | 3 |
| EN.585.619 | Regulation of Medical Devices | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.631 | Introduction to Biomechanics | 3 |
| EN.585.642 | Network Science for Biomedical Engineers | 3 |
| EN.585.703 | Applied Medical Image Processing | 3 |
| EN.585.704 | Principles of Medical Imaging | 3 |
| EN.585.708 | Biomaterials | 3 |
| EN.585.709 | Biomechanics of Cells and Stem Cells | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.718 | Biological Solid & Fluid Mechanics | 3 |
| EN.585.719 | Sparse Representations in Computer Vision and Machine Learning | 3 |
| EN.585.720 | Orthopedic Biomechanics | 3 |
| EN.585.721 | Neural Data Science for Biomedical Engineers | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.726 | Biomimetics in Biomedical Engineering | 3 |
| EN.585.729 | Cell and Tissue Engineering | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.734 | Biophotonics | 3 |
| EN.585.741 | MR Imaging in Medicine | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.751 | Immunoengineering | 3 |
| EN.585.761 | Bioentrepreneurship | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
| EN.585.800 | Independent Study I | 3 |
| EN.585.801 | Independent Study II | 3 |
| EN.525.786 | Human Robotics Interaction | 3 |
| EN.580.430 | Systems Pharmacology and Personalized Medicine 3 | 4 |
| EN.580.488 | Foundations of Computational Biology and Bioinformatics 3 | 3 |
| EN.580.625 | Structure and Function of the Auditory and Vestibular Systems 3 | 3 |
| EN.580.639 | Models of the Neuron 3 | 4 |
| EN.580.641 | Cellular Engineering 3 | 4 |
| EN.580.642 | Tissue Engineering 3 | 3 |
| EN.580.688 | Foundations of Computational Biology and Bioinformatics 3 | 3 |
| EN.580.691 | Learning, Estimation and Control 3 | 3 |
| EN.580.771 | Principles of the Design of Biomedical Instrumentation 3 | 4 |
| EN.605.653 | Computational Genomics | 3 |
| EN.605.656 | Computational Drug Discovery,Dev | 3 |
| EN.605.755 | Systems Biology | 3 |
| EN.645.650 | Foundations of Human Systems Engineering | 3 |
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EN.580.xxx courses are offered during the day through the full-time Department of Biomedical Engineering at the Homewood Campus or at the School of Medicine. Tuition rates for the full-time program differ from the EP tuition rate.
Please refer to the course schedule published each term for exact dates, times, locations, fees, and instructors.