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 courses:
- mathematics, through ordinary differential equations
- calculus-based physics
- chemistry
- one semester/term of a programming language (e.g., Python, Java, MatLab)
Applicants whose prior education does not include the courses listed above may still enroll under provisional status, followed by full admission status once they have completed the missing courses. All courses from the table below may be completed at Johns Hopkins Engineering or, with approval from the Chair or Vice Chair, 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. Official 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 courses listed above.
If you are an international applicant, you may have additional admission requirements.
Provisional Courses
These courses do not count toward the degree or certificate requirements.
| Code | Title | Credits |
|---|---|---|
| Undergraduate Courses (or approved equivalent): | Credits | |
| EN.625.108 | Calculus I | 4 |
| EN.625.109 | Calculus II | 4 |
| EN.625.250 | Multivariable Calculus and Complex Analysis | 3 |
| EN.625.251 | Introduction to Ordinary and Partial Differential Equations | 3 |
| EN.625.201 | General Applied Mathematics | 3 |
| EN.605.206 | Introduction to Programming Using Python | 3 |
| or EN.605.201 | Introduction to Programming Using Java | |
| or EN.605.207 | Introduction to Programming Using C++ | |
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.
Core Courses
| Code | Title | Credits |
|---|---|---|
| Select two of the following to demonstrate biology/physiology proficiency: 1 | Credits | |
| 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.585.708 | Biomaterials | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| EN.605.755 | Systems Biology | 3 |
| Select one of the following to demonstrate math proficiency: 2 | Credits | |
| EN.585.615 | Mathematical Methods | 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.585.732 | 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.585.779 | Principles and Applications of Modern X-ray Imaging and Computed Tomography | 3 |
| EN.535.641 | Mathematical Methods For Engineers | 3 |
| EN.535.661 | Biofluid Mechanics | 3 |
| EN.535.663 | Biosolid Mechanics | 3 |
| EN.605.631 | Statistical Methods for Computer Science | 3 |
| EN.605.647 | Neural Networks | 3 |
| EN.615.641 | Mathematical Methods for Physics and Engineering | 3 |
| EN.625.603 | Statistical Methods and Data Analysis | 3 |
| EN.685.621 | Algorithms for Data Science | 3 |
| EN.705.621 | Introduction to Algorithms | 3 |
| PH.140.621 | Statistical Methods in Public Health I (4 BSPH credits/3 EP credits) | 4 |
| PH.140.622 | Statistical Methods in Public Health II (4 BSPH credits/3 EP credits) | 4 |
| PH.140.628 | Data Science for Public Health in Python (4 BSPH credits/3 EP credits) | 4 |
| PH.140.629 | AI for Public Health in Python (4 BSPH credits/3 EP credits) | 4 |
| Focus Areas | ||
| Select one of the following: | ||
| Artificial Intelligence in Medicine | ||
| Biomechanics | ||
| Biomedical Data Science | ||
| Clinical Engineering | ||
| Imaging | ||
| Medical Devices | ||
| Neuroengineering | ||
| Translational Tissue Engineering | ||
- 1
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.
ARTIFICIAL INTELLIGENCE IN MEDICINE
| Code | Title | Credits |
|---|---|---|
| Artificial Intelligence in Medicine Math Courses | Credits | |
| Select at least one required math course from the list below: 3 | ||
| EN.705.621 | Introduction to Algorithms | 3 |
| EN.685.621 | Algorithms for Data Science | 3 |
| Artificial Intelligence in Medicine Core Courses | Credits | |
| Select at least two courses from the list below: 4 | ||
| EN.585.649 | Artificial Intelligence and Machine Learning for Global Health | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
| EN.585.788 | Foundations of Computational Biology and Bioinformatics | 3 |
| EN.525.786 | Human Robotics Interaction | 3 |
| EN.605.645 | Artificial Intelligence | 3 |
| EN.605.646 | Natural Language Processing | 3 |
| EN.605.647 | Neural Networks | 3 |
| EN.605.743 | Advanced Artificial Intelligence | 3 |
| EN.625.638 | Foundations of Neural Networks | 3 |
| EN.645.651 | Integrating Humans and Technology | 3 |
| EN.685.701 | Data Science: Modeling and Analytics | 3 |
| EN.705.601 | Applied Machine Learning | 3 |
| EN.705.603 | Creating AI-Enabled Systems | 3 |
| EN.705.608 | Applied Generative AI | 3 |
| EN.705.612 | Values and Ethics in Artificial Intelligence | 3 |
| EN.705.615 | Artificial Intelligence for Leaders | 3 |
| EN.705.617 | Artificial Intelligence in Healthcare | 3 |
| EN.705.618 | Neuromarketing AI | 3 |
| EN.705.640 | Cognitive and Behavioral Foundations for Artificial Intelligence | 3 |
- 3
Can replace general Math Proficiency Core Course requirement.
- 4
Or other courses from the Artificial Intelligence program (EN.705.xxx) with advisor approval.
BIOMECHANICS
| Code | Title | Credits |
|---|---|---|
| Biomechanics Core Course | Credits | |
| Select one course from the list below: | ||
| EN.585.631 | Introduction to Biomechanics | 3 |
| or EN.585.720 | Orthopedic Biomechanics | |
| Biomechanics Electives | Credits | |
| Select at least one course from the list below: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.612 | Biomechanical Engineering in Sports | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.702 | Medical Device Innovation and Design | 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.585.762 | Computational Biomechanics and Physiological Modeling | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.785 | Computational Medicine: Cardiology | 3 |
| EN.535.661 | Biofluid Mechanics | 3 |
| EN.535.663 | Biosolid Mechanics | 3 |
| EN.535.664 | Fundamental Principles for Bio-microfluidic Systems | 3 |
BIOMEDICAL DATA SCIENCE
| Code | Title | Credits |
|---|---|---|
| Biomedical Data Science Math Courses | Credits | |
| Select at least one required math course from the list below: 5 | ||
| EN.625.603 | Statistical Methods and Data Analysis | 3 |
| EN.685.621 | Algorithms for Data Science | 3 |
| Biomedical Data Science Core Courses | Credits | |
| Select at least two courses from the list below: 6 | ||
| EN.585.719 | Sparse Representations in Computer Vision and Machine Learning | 3 |
| EN.585.762 | Computational Biomechanics and Physiological Modeling | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.788 | Foundations of Computational Biology and Bioinformatics | 3 |
| EN.605.746 | Advanced Machine Learning | 3 |
| EN.605.755 | Systems Biology | 3 |
| EN.625.638 | Foundations of Neural Networks | 3 |
| EN.625.651 | Mathematical Models in Healthcare | 3 |
| EN.625.661 | Statistical Models and Regression | 3 |
| EN.625.742 | Theory of Machine Learning | 3 |
| EN.625.744 | Modeling, Simulation, and Monte Carlo | 3 |
| EN.635.631 | Foundations of Data Analytics | 3 |
| EN.635.632 | Data Engineering for AI Systems | 3 |
| EN.685.652 | Data Engineering Principles and Practice | 3 |
| EN.685.662 | Data Patterns and Representations | 3 |
| EN.685.701 | Data Science: Modeling and Analytics | 3 |
- 5
- Can replace the general Math Proficiency Core Course requirement.
- 6
Or other courses from the Data Science program (EN.685.xxx) with advisor approval.
CLINICAL ENGINEERING
| Code | Title | Credits |
|---|---|---|
| Clinical Engineering Math Courses | Credits | |
| Select at least one required math course from the list below: 7 | ||
| PH.140.621 | Statistical Methods in Public Health I (4 BSPH credits/3 EP credits) | 4 |
| PH.140.622 | Statistical Methods in Public Health II (4 BSPH credits/3 EP credits) | 4 |
| PH.140.628 | Data Science for Public Health in Python (4 BSPH credits/3 EP credits) | 4 |
| PH.140.629 | AI for Public Health in Python (4 BSPH credits/3 EP credits) | 4 |
| Clinical Engineering Core Courses | Credits | |
| Select at least two core courses from the list below: 8 | ||
| EN.585.617 | Rehabilitation Engineering | 3 |
| EN.585.717 | Rehabilitation Engineering II | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
| EN.655.662 | Intro to Healthcare Systems Engineering | 3 |
| EN.655.768 | Healthcare System Design & Integration | 3 |
- 7
Can replace general Math Proficiency Core Course requirement.
- 8
Or other courses from the Healthcare Systems Engineering program (EN.655.xxx) with advisor approval.
IMAGING
| Code | Title | Credits |
|---|---|---|
| Imaging Core Course | Credits | |
| EN.585.704 | Principles of Medical Imaging | 3 |
| Imaging Electives | Credits | |
| Select at least one course from the list below: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.616 | Principles of Medical Instrumentation and Devices | 3 |
| EN.585.702 | Medical Device Innovation and Design | 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.585.723 | Functional Neuroimaging and Neural Sensors | 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.585.762 | Computational Biomechanics and Physiological Modeling | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.779 | Principles and Applications of Modern X-ray Imaging and Computed Tomography | 3 |
| EN.525.603 | Advanced Topics in Optical Medical Imaging | 3 |
MEDICAL DEVICES
| Code | Title | Credits |
|---|---|---|
| Medical Devices Core Course | Credits | |
| Select one course from the list below: | ||
| EN.585.613 | Medical Sensors & Devices | 3 |
| or EN.585.616 | Principles of Medical Instrumentation and Devices | |
| Medical Devices Electives | Credits | |
| Select at least one course from the list below: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.617 | Rehabilitation Engineering | 3 |
| EN.585.619 | Regulation of Medical Devices | 3 |
| EN.585.621 | Advances in Pulmonary Therapeutics | 3 |
| EN.585.702 | Medical Device Innovation and Design | 3 |
| EN.585.703 | Applied Medical Image Processing | 3 |
| EN.585.717 | Rehabilitation Engineering II | 3 |
| EN.585.719 | Sparse Representations in Computer Vision and Machine Learning | 3 |
| EN.585.720 | Orthopedic Biomechanics | 3 |
| EN.585.723 | Functional Neuroimaging and Neural Sensors | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.726 | Biomimetics in Biomedical Engineering | 3 |
| EN.585.732 | Advanced Signal Processing for Biomedical Engineers | 3 |
| EN.585.734 | Biophotonics | 3 |
| EN.585.735 | Applied Bioelectrical Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.762 | Computational Biomechanics and Physiological Modeling | 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.585.795 | Projects in Medical Sensors and Devices | 3 |
| EN.525.603 | Advanced Topics in Optical Medical Imaging | 3 |
| EN.525.626 | Feedback Control in Biological Signaling Pathways | 3 |
| EN.535.691 | Haptic Interface Design | 3 |
NEUROENGINEERING
| Code | Title | Credits |
|---|---|---|
| Neuroengineering Core Course | Credits | |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| Neuroengineering Electives | Credits | |
| Select at least one course from the list below: | ||
| EN.585.725 | Biomedical Engineering Practice and Innovation (highly recommended) | 3 |
| EN.585.682 | Neuropharmacology | 3 |
| EN.585.685 | Methods in Neurobiology | 3 |
| EN.585.702 | Medical Device Innovation and Design | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.723 | Functional Neuroimaging and Neural Sensors | 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.585.735 | Applied Bioelectrical Engineering | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.585.762 | Computational Biomechanics and Physiological Modeling | 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.525.603 | Advanced Topics in Optical Medical Imaging | 3 |
| EN.525.626 | Feedback Control in Biological Signaling Pathways | 3 |
| EN.605.613 | Introduction to Robotics | 3 |
| EN.605.647 | Neural Networks | 3 |
TRANSLATIONAL TISSUE ENGINEERING
| Code | Title | Credits |
|---|---|---|
| Translational Tissue Engineering Core Course | Credits | |
| EN.585.729 | Cell and Tissue Engineering | 3 |
| Translational Tissue Engineering Electives | Credits | |
| Select at least one course from the list below: | ||
| 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.585.702 | Medical Device Innovation and Design | 3 |
| EN.585.708 | Biomaterials | 3 |
| EN.585.709 | Biomechanics of Cells and Stem Cells | 3 |
| EN.585.710 | Biochemical Sensors | 3 |
| EN.585.717 | Rehabilitation Engineering II | 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.585.744 | Biomedical Applications of Glycoengineering | 3 |
| EN.585.746 | Biochemical and Cellular Engineering | 3 |
| EN.585.747 | Advances in Cardiovascular Medicine | 3 |
| EN.585.751 | Immunoengineering | 3 |
| EN.585.762 | Computational Biomechanics and Physiological Modeling | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.788 | Foundations of Computational Biology and Bioinformatics | 3 |
| EN.525.626 | Feedback Control in Biological Signaling Pathways | 3 |
| EN.535.750 | Biomechanics of the cell: From nano- and micro-mechanics to cell organization and function | 3 |
Electives
| Code | Title | Credits |
|---|---|---|
| Courses | Credits | |
| 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.585.612 | Biomechanical Engineering in Sports | 3 |
| EN.585.613 | Medical Sensors & Devices | 3 |
| EN.585.615 | Mathematical Methods | 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.585.635 | Ethics in Biomedical Engineering Research and Management | 3 |
| EN.585.649 | Artificial Intelligence and Machine Learning for Global Health | 3 |
| EN.585.661 | Medical Device Marketing and Market Position Establishment | 3 |
| EN.585.682 | Neuropharmacology | 3 |
| EN.585.685 | Methods in Neurobiology | 3 |
| EN.585.702 | Medical Device Innovation and Design | 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.585.717 | Rehabilitation Engineering II | 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.585.723 | Functional Neuroimaging and Neural Sensors | 3 |
| EN.585.724 | Neural Prosthetics: Science, Technology, and Applications | 3 |
| EN.585.725 | Biomedical Engineering Practice and Innovation | 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.585.735 | Applied Bioelectrical Engineering | 3 |
| EN.585.739 | Models of the Neuron | 3 |
| EN.585.740 | Cognitive Brain Mapping | 3 |
| EN.585.741 | MR Imaging in Medicine | 3 |
| EN.585.742 | Regenerative Tissue Engineering | 3 |
| EN.585.743 | Modeling Approaches to Cell and Tissue Engineering | 3 |
| EN.585.744 | Biomedical Applications of Glycoengineering | 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.585.762 | Computational Biomechanics and Physiological Modeling | 3 |
| EN.585.770 | Global Health Engineering | 3 |
| EN.585.771 | Biomedical Data Science | 3 |
| EN.585.779 | Principles and Applications of Modern X-ray Imaging and Computed Tomography | 3 |
| EN.585.781 | Frontiers in Neuroengineering | 3 |
| EN.585.782 | Annotate A Genome | 3 |
| EN.585.783 | Introduction to Brain-Computer Interfaces | 3 |
| EN.585.785 | Computational Medicine: Cardiology | 3 |
| EN.585.788 | Foundations of Computational Biology and Bioinformatics | 3 |
| EN.585.795 | Projects in Medical Sensors and Devices | 3 |
| EN.585.800 | Independent Study I | 3 |
| EN.585.801 | Independent Study II | 3 |
| EN.525.786 | Human Robotics Interaction | 3 |
| EN.535.691 | Haptic Interface Design | 3 |
| EN.535.750 | Biomechanics of the cell: From nano- and micro-mechanics to cell organization and function | 3 |
| 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 |
| EN.580.430 | Systems Pharmacology and Personalized Medicine 9 | 4 |
| EN.580.625 | Structure and Function of the Auditory and Vestibular Systems 9 | 3 |
| EN.580.639 | Models of the Neuron 9 | 4 |
| EN.580.641 | Cellular Engineering 9 | 4 |
| EN.580.642 | Tissue Engineering 9 | 3 |
| EN.580.691 | Learning, Estimation and Control 9 | 3 |
| EN.580.754 | Cell & Tissue Engineering Lab 9 | 4 |
| EN.580.771 | Principles of the Design of Biomedical Instrumentation 9 | 4 |
- 9
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.