Courses listed are University of Utah equivalents. See University Course Comparisons list or Transfer Credit Equivalency Guide for other options.

FOUNDATIONAL SUBJECTS AND COURSES
To help our students have the best chance at success in our rigorous program, we request that applicants have proficiency (have received a B grade or higher) in the following:
Math Calculus I (MATH 1210 OR 1310) - but additional math may be needed

CORE AREAS
Proficiency in at least 2 core area categories to qualify for the graduate certificate and at least 3 core area categories to be admitted to the Neural Engineering Master's program
Core Area 1:
Neural Interfaces		  Circuits (Choose 1)

Core Area 2:
Neural Analysis & Modeling

Differential Equations & Linear Algebra (MATH 2250 OR MATH 2270 + MATH 2280) is considered a typical pre-req for most courses related to signals

 Signals (Choose 1)

 

Core Area 3:
Neurophysiology		 Biology (Choose 1)

Anatomy & Physiology (Choose 1)

Core Area 4:
Neurorobotics		 Intro to Programming