To The Top

The header image is the default header image for the site.

Officially approved as:

Stand Alone: Yes

Total Credit Hours:  12

Certificate description: The Graduate Certificate in Neural Engineering-Signals, Systems & Machine Learning will enable the student to gain both fundamental and applied understanding of brain signals and systems, and machine learning schemes in this 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, systems modeling and control disciplines. The students will gain expertise in understanding the fundamentals of signals, systems and machine learning tools for ‘reverse engineering the brain’, and also for the design of neural prostheses, and brain machine interfaces.

Certificate web site:

Admission Criteria

Application Deadlines

  • Fall semester: Rolling
  • Spring semester: Rolling

Required Application Materials

For the Graduate School

  • Completed Graduate School online application
  • Unofficial Transcripts- As part of the application submission process, all applicants are required to upload unofficial copies of all post-secondary transcripts to the online application. Official transcripts are only required if accepted by the academic program.
  • Official Results of English Proficiency Exams (International applicants only)

For the Neural Engineering-Signals, Systems, and Machine Learning Program

  • Resume or CV