Academic Requirements

There are three fundamental requirements for earning a Graduate Certificate in Computational Neuroscience.

  1. Nine graduate credit hours of coursework in approved courses, a non-exhaustive list can be found here. At least three (3) of the credit hours must be in courses in computational neuroscience, and three credit hours must be in the cross discipline to the student’s home department (i.e., quantitative science course credits for students in experimental science degree programs, and neuroscience course credits for students in quantitative science degree programs). The remaining three credit hours can be fulfilled by an advanced neuroscience or advanced quantitative science course that may be within the student’s home department discipline.
  2. Certificate students are required to attend and participate in an interdisciplinary, computational neuroscience journal club. The journal club consists of faculty and student research presentations, and student presentation of scientific papers related to computational neuroscience. It meets on alternate Fridays 10 – 11:30 a.m. in the Biological Sciences Building (BSB) Rm 1010. Certificate students are required to attend for two semesters and give at least 1 presentation. Contact to be added to the email list. For more information, see the journal club website.
  3. The required practicum constitutes a formal training experience in interdisciplinary computational neuroscience. Certificate students will be required to submit a practicum proposal to the Program Committee for approval and will earn three (3) graduate credit hours for its completion.

For more information, see the Approved Courses page. Please contact with any questions.