Master of Science in Biomedical Engineering (Neuroengineering Track)

 

The 28 unit Master of Science in Biomedical Engineering (M.S. BME with a specialization track in Neuroengineering) is designed to be completed in one calendar year of full-time study beyond the Bachelor of Science Degree. The M.S. in Biomedical Engineering (Neuroengineering) can be completed through coursework only which focuses on neuroengineering aspects of the biomedical field. This master's program provides students with a broad background, linking physiology with engineering science, necessary for entering interdisciplinary careers in neuroengineering fields or for pursuing further graduate studies.

MS BME (Neuroengineering Track)
Program of Study

Fall Semester- Year One
Required Courses		Units
BME 501	Advanced Topics in Biomedical Systems	4
BME 502	Advanced Studies of the Nervous System	4
BME 513	Signal and Systems Analysis	3
BME 533	Seminar in Bioengineering	1
Spring Semester -Year One
Required Courses		Units
BME 511	Physiological Control Systems	3
BME 552	Neural Implant Engineering	3
BME 575	Computational Neuroengineering	3
Elective	See Approved Technical Elective List	3
Fall Semster- Year Two
Required Courses		Units
BME 533	Seminar in Bioengineering	1
Elective	See Approved Technical Elective List	3

 

 

The following list of technical electives may be used in your program without prior approval. If you wish to take a course as a technical elective not listed below, please consult the Graduate Student Affairs Coordinator.

 

		Units
BME 451*	Fundamentals of Biomedical Microdevices	3
BME 452*	Introduction to Biomimetic Neural Engineering	3
BME 525	Advanced Biomedical Imaging	4
BME 551	Introduction to Bio-MEMS and Nanotechnology	3
BME 620L	Applied Electrophysiology	4
BME 650	Biomedical Measurement and Instrumentation	3
BME 670	Early Visual Processing	4
BME 671	Late Visual Processing	4
BME 675	Computational Vision	3

 

		Units
CS 445	Introduction to Robotics	4
CS 460	Introduction to Artificial Intelligence	3
CS 542	Neural Computation with Artificial Neural Networks	3
CS 545	Robotics	3
CS 561	Foundations of Artificial Intelligence	3
CS 564	Brain Theory and Artificial Intelligence	3
CS 566	Neural Networks and Self-Organization	3
CS 567	Machine Learning	3
CS 574	Computer Vision	3

 

		Units
EE 479	Analog and Non-Linear Integrated Circuit Design	3
EE 500	Neural and Fuzzy Systems	3
EE 553	Computational Solution of Optimization Problems	3
EE 559	Mathematical Pattern Recognition	3
EE 565ab	Information Theory	3,3
EE 566	Optical Information Processing	3
EE 569	Introduction to Digital Image Processing	3