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Graduate Study
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Biomedical Engineering (PhD)
PhD Approved Courses

Below are lists of some of the approved courses to give you an idea of what is required for the PhD Degree.

Please note - this list may change throughout the academic year. Current PhD students are encouraged to visit the PhD Canvas page for the most up-to-date list.

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Quantitative Courses List

In addition to BMD_ENG 470, PhD students must take two more quantitative courses. Below are some of the approved courses that full the quantitative requirement.

BMD_ENG 312 Biomedical Applications of Machine Learning
BMD_ENG 327 Magnetic Resonance Imaging
BMD_ENG 366 Biomechanics of Movement
BMD_ENG 377 Intermediate Fluid Mechanics
BMD_ENG 414 Deep Learning for Biomedical Imaging
BMD_ENG 426 MRI Modeling of Brain Physiology
BMD_ENG 463 Advanced Signal Processing Methods in Neuropathophysiology
BMD_ENG 465 Biomechanical Modeling & Simulation of Human Movement
BMD_ENG 468 Decision-making in the Wild: Measurement and Models
BMD_ENG 478 Transport Fundamentals
COMP_SCI 349 Machine Learning
COMP_SCI 449 Deep Learning
ELEC_ENG 302 Probabilistic Systems
ELEC_ENG 359 Digital Signal Processing
ELEC_ENG 418 Advanced Digital Signal Processing
ELEC_ENG 435 Deep Learning Foundations from Scratch
ES_APPM 311 Methods of Applied Mathematics
ES_APPM 421 Models in Applied Mathematics
MECH_ENG 314 Theory of Machines - Dynamics
MECH_ENG 373 Engineering Fluid Mechanics
MECH_ENG 377 Heat Transfer
MECH_ENG 422 Statistics Mechanics for Applications
NUIN 441 Biophysical Signal Processing for Movement

 

Life Science Courses List

In addition to BMD_ENG 404 - Special Topics in Systems Physiology, students are required to take the following physiology classes:

  • BMD_ENG 304 - cardiovascular, respiratory, and immune systems
  • BMD_ENG 305 - human renal, digestive, endocrine systems
  • BMD_ENG 306 - nervous system

Students who have taken similar physiology courses that equate to one quarter/semester or more may take a placement exam to test out of one or more of these required courses. If a student passes the placement exam for all three of these courses, they must take one course from the approved life sciences courses list below.

BIOL_SCI 302 Fundamentals of Neurobiology
BIOL_SCI 315 Advanced Cell Biology
BIOL_SCI 355 Immunobiology
BIOL_SCI 378 Functional Genomics
BIOL_SCI 390 Molecular Biology of Genome Editing and Engineering
BIOL_SCI 391 Developmental Biology
BMD_ENG 463 Advanced Signal Processing Methods in Neuropathophysiology
BMD_ENG 481 Cardiovascular Engineering and Technology
NUIN 436 Drugs and the Brain
NUIN 440 Advanced Neuroanatomy

 

Track Courses Lists

PhD students must choose from one of several tracks. The courses in these tracks were chosen to allow students to develop a deeper understanding of their research topic. Below is a partial list of the approved track courses.

Biomaterials Track
BMD_ENG 343 Biomaterials and Medical Devices
BMD_ENG 344 Biological Performance of Materials
BMD_ENG 346 Tissue Engineering
BMD_ENG 348 Applications of Regenerative Engineering
BMD_ENG 444 Organic Nanomaterials
Bioelectronics & Sensing Specialization Track
BMD_ENG 317 Biomedical Sensors
BMD_ENG 346 Tissue Engineering
BMD_ENG 353 Bioelectronics
BMD_ENG 380 Medical Devices, Disease & Global Health
BMD_ENG 481 Cardiovascular Engineering & Technology
Regenerative Engineering Track
BMD_ENG 340 Pharmaceutical Engineering: From Discovery to Therapeutics
BMD_ENG 346 Tissue Engineering
BMD_ENG 347 Foundations of Regenerative Engineering
BMD_ENG 481 Cardiovascular Engineering and Technology
BIOL_SCI 315 Advanced Cell Biology
Biophotonics & Imaging Track
BMD_ENG 327 Magnetic Resonance Imaging
BMD_ENG 333 Modern Optical Microscopy & Imaging
BMD_ENG 426 MRI Modeling of Brain Physiology
ELEC_ENG 359 Digital Signal Processing
ELEC_ENG 418 Advanced Digital Signal Processing
Mechanics & Transport Track
BMD_ENG 377 Intermediate Fluid Mechanics
BMD_ENG 452 Transport through Connective Tissue
BMD_ENG 478 Advanced Mass and Heat Transfer
CHEM_ENG 462 Viscoelasticity and Flow in Polymer Systems
MECH_ENG 362 Stress Analysis
Neural Engineering Track
BMD_ENG 366 Biomechanics of Movement
BMD_ENG 467 Biomedical Robotics
COMP_SCI 349 Machine Learning
ELEC_ENG 435 Deep Learning Foundations from Scratch
MECH_ENG 314 Machines Dynamics
Rehabilitation Track
BMD_ENG 366 Biomechanics of Movement
COMP_SCI 349 Machine Learning
ELEC_ENG 435 Deep Learning Foundations from Scratch
MECH_ENG 314 Machines Dynamics
NUIN 480 Circuits and Systems for Motor Control
Computational Genomics & Molecular Engineering Track
BMD_ENG 414 Deep Learning for Biomedical Imaging
COMP_SCI 349 Machine Learning
DGP 440 Immunology
IBIS 402 Molecular Biology of Human Disease
MSAI 422 Intro to Java & Python Programming