Certificate in Neural Engineering-Systems

The Certificate in Neural Engineering-Systems will enable students to gain both a fundamental and applied understanding of brain signals, a rapidly growing component of neural big-data research. The program includes the study of basic concepts related to modeling the nonlinear electrical circuits in the brain which use concepts from signal processing, modeling and control. Students will gain expertise in understanding the fundamentals required for the design of neural prostheses, and brain machine interfaces.  


A total of 12 credit hours are required to obtain the certificate.  At least one course must be neuro-related.

Core Courses (at least 6 credit hours)
BIOL_EN 4540Neural Models and Machine Learning3
or BME 4540 Neural Models and Machine Learning
ECE 4310Feedback Control Systems3
or BIOL_EN 4310 Feedback Control Systems
or MAE 4750 Classical Control
ECE 4590Computational Neuroscience required4
or BIOL_EN 4590 Computational Neuroscience
or BIO_SC 4590 Computational Neuroscience
or BME 4590 Computational Neuroscience
or CMP_SC 4590 Computational Neuroscience
Support Courses (at least 6 credit hours)
Any of the three courses listed above not taken
PSYCH 2210Mind, Brain, and Behavior3
ECE 2017World of Neuroscience1
or CMP_SC 2017 World of Neuroscience
MPP 3202Elements of Physiology5
ECE 4830Introduction to Digital Signal Processing3-4
BIOL_EN 4070Bioelectricity3
BIOL_EN 4075Brain Signals and Brain Machine Interfaces3