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Biomedical Engineering (MS)
MS Approved Courses

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

Please note - these lists are not complete and may change throughout the academic year. Current MS students are encouraged to visit the MS Program Sharepoint page for the most up-to-date list.

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Advanced Life Science Courses List

Students are required to take two of the following three 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 two or more of these courses, they take courses from the approved advanced life sciences courses 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

 

Quantitative Courses List

Below are some of the approved courses that full the quantitative requirement.
BMD_ENG 312 Biomedical Applications of Machine Learning
BMD_ENG 325 Introduction to Medical Imaging
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 414 Advanced Topics in Quantum Electronics
ELEC_ENG 418 Advanced Digital Signal Processing
ELEC_ENG 435 Deep Learning Foundations from Scratch
ES_APPM 311 Methods of Applied Mathematics
ES_APPM 414 Differential Equations of Mathematical Physics
MECH_ENG 314 Theory of Machines - Dynamics
MECH_ENG 333 Introduction to Mechatronics
MECH_ENG 373 Engineering Fluid Mechanics
MECH_ENG 377 Heat Transfer
MECH_ENG 422 Statistics Mechanics for Applications

 

Advanced Statistics Courses List

Below are some of the approved courses that full the advanced statistics requirement.
BMD_ENG 407 Experimental Design and Measurement
IEMS 301 Introduction to Statistical Learning
IEMS 304 Statistical Learning for Data Analysis
IEMS 305 Foundations of Modern Machine Learning
IEMS 307 Quality Improvement by Experimental Design
IEMS 401 Applied Mathematical Statistics
MEM 407 Decision Tools for Managers
STAT 350 Regression Analysis
STAT 351 Design and Analysis of Experiments
STAT 465 Statistical Methods for Bioinformatics and Computational Biology

 

Restricted Electives Courses List

Below are some of the approved courses that full the restricted electives requirement.
BMD_ENG 495 / ENTREP 470 NUvention: Medical
BMD_ENG 499 Research for Credit
CHEM_ENG 382 Biotechnology Regulatory Science
CHEM_ENG 478 Advances in Biotechnology
ENTREP 325 Engineering Entrepreneurship
ENTREP 330 Startup Account and Finance
ENTREP 390 Product Management
GBL_HLTH 390 Special Topics