Neurotechnologies and Neurosystems Post-Baccalaureate Certificate
4-Course Professional Development Certificate
About the Program
The certificate in Neurotechnologies and Neurosystems is designed for engineers pursuing careers at the intersection of device development, neuroscience and computation. The program is open for all students with previous undergraduate degrees in an engineering discipline.
The program is based on recent technological and scientific advances and provides participants with specific courses and experiences promoting the development of their skills, with the option to specialize either in the neuro-device and -technology sector, or specialize in neuroscience to decipher a better understanding of neuronal systems. This also includes skills at the interface of both technologies and science, such as analysis of complex neural data sets, understanding of how the nervous system interacts with technology, and demonstrate how it is being applied in clinical and research settings. Students enrolled in this concentration will develop an understanding of how technology can model, interact with, repair, replace, or enhance neural systems in addition to the skills to acquire, processes, and analyze complex data sets from biological systems.
Students enrolled in this concentration will develop an understanding of how technology can model, interact with, repair, replace, or enhance neural systems in addition to the skills to acquire, processes, and analyze complex data sets from biological systems. Students will complete a sequence of two required introductory courses and at least two elective course to focus their education on their interests, helping to ensure the graduate’s professional success.
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 12.0 – 15.0
Expected Time to Completion: 1 year
Required Courses
BMES 710 |
Neural Signals |
3.0 Credits |
or BMES 711 |
Principles in Neuroengineering |
3.0 Credits |
To further specialize their education, students take at least 6 additional credits of electives: |
6.0–9.0 |
BMES 685 |
Experimental Methods in Neuroengineering |
BMES 715 |
Systems Neuroscience I |
BMES 716 |
Systems Neuroscience II |
BMES 718 |
Brain Computer Interfaces |
BMES 725 |
Neural Networks |
Sample Plan of Study