Post-Baccalaureate Certificate Neurotechnologies and Neurosystems
Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Minimum Number of Credits to Completion: 12.0
Instructional Delivery: Campus
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Aid eligible*
Classification of Instructional Program (CIP) Code: 26.1501
Standard Occupational Classification (SOC) Code: 11-9121
*The current plan of study for this program would only allow for federal financial aid (including Federal Direct Student Loans) for terms that are at least a minimum of 4.5 credits for graduate courses and 6.0 credits for undergraduate courses. This is based on current regulations from the U.S. Department of Education.
About the Program
The certificate in Neurotechnologies and Neurosystems is designed for engineers pursuing careers at the intersection of device development and neuroscience. 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 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.
Admission Requirements
The applicant must have completed a four-year bachelor’s engineering degree or equivalent program in a relevant subject area with a preferred GPA of at least 3.0. All students must submit two confidential letters of recommendation, a personal statement explaining their interest in the program and all previous official educational transcripts. No standardized test is required. The merit of each applicant will be evaluated by the admissions committee of the program and all qualifications, including professional experience, will be taken into consideration.
Program Requirements
| Required courses | ||
| BMES 710 | Neural Signals | 3.0 |
| BMES 711 | Principles in Neuroengineering | 3.0 |
| Elective courses (6 or more credits) | 6.0 | |
| Experimental Methods in Neuroengineering | ||
| Systems Neuroscience and Applications I | ||
| Brain Computer Interfaces | ||
| Neural Networks | ||
| Total Credits | 12.0 | |
Sample Plan of Study
| First Year | |||||
|---|---|---|---|---|---|
| Fall | Credits | Winter | Credits | Spring | Credits |
| BMES 718 | 3.0 | BMES 710 | 3.0 | BMES 711 | 3.0 |
| BMES 725 | 3.0 | ||||
| 3 | 3 | 6 | |||
| Total Credits 12 | |||||
Additional Information
Natalia Broz
Associate Director for Graduate Programs
School of Biomedical Engineering, Science and Health Systems
Email: njb33@drexel.edu
