Program and Courses - Neural Engineering

Minor

Undergraduate Certificate

Complete a minimum of 20 credits, including:

2 Foundational courses - 1 course from each area
2 Core Courses - must be from different categories
2 Elective Courses - must be from different categories
Additional credits can come from any category of the Neuro Course List, including:
- Project - Not required, but up to 4 credits of research project-type credits may be used to fulfill the total credit requirement
- Seminar - Not required, but up to 1 credit (two semesters) of BME 6470 Neural Engineering Research Group (NERG) may be used to fulfill the total credit requirement

Additional criteria

Must receive a B- grade or higher in certificate coursework and CR grades in seminars and project-related credits

NOTE: This certificate is for students who have not completed a prior Bachelor’s degree. Students who are currently enrolled as undergraduates at the University of Utah are invited to learn more about the Graduate Neurotechnology Certificate and the Neural Engineering Master's program.

STEPS

1.   Declare your major with your major academic advisor and discuss with them about how additional requirements may affect your graduation timeline before adding the Neurotechnology Certificate
2. Complete the pre-requisite courses according to application criteria (see below)
3. Complete the Neurotechnology Certificate application
4.  Meet with the Academic Advisor for the Neurotechnology Program to plan out coursework.
5.  When you are in your final semester, submit the Certificate Completion Form.

APPLICATION CRITERIA

Students need full major status in a STEM major at the University of Utah,
A 2.5 cumulative GPA
C grade or higher in pre-requisite coursework*:
- PHYS 2210
- MATH 2250 or MATH 2270 + MATH 2280

*Equivalent coursework from accredited institutions may also be considered See University Course Comparisons list or Transfer Credit Equivalency Guide for other options.

Graduate Certificate

The Neurotechnology Graduate Certificate provides specialized training in neural engineering for graduates and working professionals. Designed for flexibility, it can be completed standalone or alongside a University of Utah Master’s or PhD. Graduates gain the advanced skills needed for high-paying industry roles or competitive PhD programs in neuroscience and bioengineering. Explore our Neural Engineering Master’s Program to learn about additional opportunities for graduate students.

Complete a minimum of 20 graduate-level credits, including:

3 Core Courses - must be from different categories
2 Elective Courses - must be from different categories
1 credit of Seminar
Project - up to 6 credits of research project-type credits may be used to fulfill the total credit requirement
Additional credits can come from the core/elective Neuro Course lists. Additional courses outside of these lists can count if approval is obtained from the Director of Academic Studies.

Additional Criteria

Must receive a B- grade or higher in certificate coursework and CR grades in seminars and project-related credits

IMPORTANT NOTE: This certificate is for students who have completed a prior Bachelor's degree. Students who are currently enrolled as undergraduates at the University of Utah are invited to learn more about the Neurotechnology Minor and Undergraduate Neurotechnology Certificate.

STEPS

1. Be admitted to the University of Utah Graduate School through the appropriate admission method:

- Apply to the Graduate Program - for degree-seeking Master's or PhD students
- Apply as a graduate non-matriculated student - for standalone Neurotechnology Certificate-seeking students

2. Complete the Neurotechnology Certificate Application Form

3. Meet with the Academic Advisor for the Neurotechnology Program to plan out coursework.

4. When you are in your final semester, submit the Certificate Completion Form.

Master's Program

	Minor	Undergraduate Certificate	Graduate Certificate	Master's Program
Foundational Courses	2	2	N/A	N/A
Core Courses	1	2	3	4
Elective Courses	2	2	2	2
Seminars	Optional	Optional	1 Credit	1 Credit
Project	Optional	Optional	1+ research project-type credit OR alternative project course option	1+ research project-type credit OR alternative project course option
Total Credits	16+	20+	20+ Graduate-Level	30+ Graduate-Level

Foundational

Core/Electives

Seminars

Project

For classes cross-listed between 5/6000 level sections: Undergraduates should complete coursework at the 5000- level. Students taking the courses for the graduate certificate or Master's must take them at the 6000- level.
Core courses that are not used to fulfill a core category requirement may also be used as an elective option for that category

Category	Courses
Neural Interfaces	Core ECE 5960/6960 Fund. of Commercial Neurotechnology - 3 credits Electives CS 7710 Neuromorphic Architecture – 3 credits BME/ECE 5480 Diagnostic and Therapeutic Ultrasound – 3 credits ECE 5215/6215 Biomedical Micro Devices – 3 credits ECE 5245 Design and Simulation Microsystems – 3 credits ECE 6226 Electrical Interface MEMS – 3 credits ECE 5360/6360 Bioelectromagnetics – 3 credits ECE 5710/6710 Digital VLSI Design – 4 credits ECE 5780/6780 Embedded Systems Design – 4 credits ECE 7310 Adv Magnetic Resonance Imaging – 3 credits ECE 7620 3-D Reconstruction Techniques in Medical Imaging – 3 credits
Neural Analysis & Modeling	Core BME 5005/6005 Computational Neuroscience - 3 credits ECE 5535/6535 Mathematical Tools for Neural Data Analysis & Modeling - 3 credits Electives BME 5005/6005 Computational Neuroscience - 3 credits BME 6433 Biological Statistical Processing - 3 credits CS 6210 Adv Scientific Computing - 3 credits CS 6300 Artificial Intelligence - 3 credits CS 6353 Deep Learning - 3 credits CS 6355 Structured Prediction - 3 credits ECE 6520 Information Theory - 3 credits ECE 5530/6530 Digital Signal Processing - 3 credits ECE 5535/6535 Mathematical Tools for Neural Data Analysis and Modeling - 3 credits ECE 6540 Estimation Theory - 3 credits MATH 5470 Chaos Theory - 3 credits MATH 6070 Mathematical Statistics - 3 credits MATH 6440 Adv Dynamical Systems - 3 credits MATH 6630 Numerical Solutions of Partial Differential Equations - 3 credits MATH 6740 Bifurcation Theory - 3 credits MATH 6770 Mathematical Biology I - 3 credits MATH 6780 Mathematical Biology II - 3 credits
Neurophysiology	Core NEUSC 6050 Systems Neuroscience - 3 credits Electives BME 3202 Physiology for Engineers – 4 credits (eligible only for undergrads) BME 4301 Intro to Modern Biomaterials – 3 credits (eligible only for undergrads) BME 6003 Cellular Electrophysiology & Biophysics – 3 credits BME 6230 or ME EN 7120 Functional Anatomy for Engineers – 3 credits BME 6302 Biomaterials – 3 credits BME 6460 Bioelectricity – 3 credits NEUSC 6040 Cellular and Molecular Neuroscience – 4 credits NEUSC 6050 Systems Neuroscience – 4 credits NEUSC 6060 Neuroanatomy – 1.5 credits NEUSC 6100 Visual Neuroscience – 3 credits NEUSC 6245 Neurophysiology Lab – 1 credit NEUSC 7750 Developmental Neurobiology – 1.5 credits
NeuroProstheses/NeuroRobotics	Core Neural Engineering & NeuroRobotics - 4 credits Cross-listed as BME 6440, ECE 6654, or ROBOT 6400 Electives CS 6320/ECE 6657 Computer Vision – 3 credits CS 6360 Virtual Reality – 3 credits CS 6540 Human-Computer Interaction – 3 credits CS 7640 Adv Image Processing – 3 credits ECE 6652/ME EN 6210 Linear Control Systems – 3 credits ME EN 7200 Nonlinear Controls – 3 credits ME EN 7210 Optimal Controls – 3 credits ME EN 7240 Haptics - 3 credits ROBOT 5000/6000 Robotics 1: Mechanics – 3 credits ROBOT 5100/6100 Robotics 2: Control – 3 credits ROBOT 6200 Motion Planning – 3 credits ROBOT 6500 Advanced Mechatronics – 3 credits

Category

Courses

Neural Interfaces

Core

ECE 5960/6960 Fund. of Commercial Neurotechnology - 3 credits

Electives

CS 7710 Neuromorphic Architecture – 3 credits
BME/ECE 5480 Diagnostic and Therapeutic Ultrasound – 3 credits
ECE 5215/6215 Biomedical Micro Devices – 3 credits
ECE 5245 Design and Simulation Microsystems – 3 credits
ECE 6226 Electrical Interface MEMS – 3 credits
ECE 5360/6360 Bioelectromagnetics – 3 credits
ECE 5710/6710 Digital VLSI Design – 4 credits
ECE 5780/6780 Embedded Systems Design – 4 credits
ECE 7310 Adv Magnetic Resonance Imaging – 3 credits
ECE 7620 3-D Reconstruction Techniques in Medical Imaging – 3 credits

Neural Analysis & Modeling

Core

BME 5005/6005 Computational Neuroscience - 3 credits
ECE 5535/6535 Mathematical Tools for Neural Data Analysis & Modeling - 3 credits

Electives

BME 5005/6005 Computational Neuroscience - 3 credits
BME 6433 Biological Statistical Processing - 3 credits
CS 6210 Adv Scientific Computing - 3 credits
CS 6300 Artificial Intelligence - 3 credits
CS 6353 Deep Learning - 3 credits
CS 6355 Structured Prediction - 3 credits
ECE 6520 Information Theory - 3 credits
ECE 5530/6530 Digital Signal Processing - 3 credits
ECE 5535/6535 Mathematical Tools for Neural Data Analysis and Modeling - 3 credits
ECE 6540 Estimation Theory - 3 credits
MATH 5470 Chaos Theory - 3 credits
MATH 6070 Mathematical Statistics - 3 credits
MATH 6440 Adv Dynamical Systems - 3 credits
MATH 6630 Numerical Solutions of Partial Differential Equations - 3 credits
MATH 6740 Bifurcation Theory - 3 credits
MATH 6770 Mathematical Biology I - 3 credits
MATH 6780 Mathematical Biology II - 3 credits

Neurophysiology

Core

NEUSC 6050 Systems Neuroscience - 3 credits

Electives

BME 3202 Physiology for Engineers – 4 credits (eligible only for undergrads)
BME 4301 Intro to Modern Biomaterials – 3 credits (eligible only for undergrads)
BME 6003 Cellular Electrophysiology & Biophysics – 3 credits
BME 6230 or ME EN 7120 Functional Anatomy for Engineers – 3 credits
BME 6302 Biomaterials – 3 credits
BME 6460 Bioelectricity – 3 credits
NEUSC 6040 Cellular and Molecular Neuroscience – 4 credits
NEUSC 6050 Systems Neuroscience – 4 credits
NEUSC 6060 Neuroanatomy – 1.5 credits
NEUSC 6100 Visual Neuroscience – 3 credits
NEUSC 6245 Neurophysiology Lab – 1 credit
NEUSC 7750 Developmental Neurobiology – 1.5 credits

NeuroProstheses/NeuroRobotics

Core

Neural Engineering & NeuroRobotics - 4 credits
Cross-listed as BME 6440, ECE 6654, or ROBOT 6400

Electives

CS 6320/ECE 6657 Computer Vision – 3 credits
CS 6360 Virtual Reality – 3 credits
CS 6540 Human-Computer Interaction – 3 credits
CS 7640 Adv Image Processing – 3 credits
ECE 6652/ME EN 6210 Linear Control Systems – 3 credits
ME EN 7200 Nonlinear Controls – 3 credits
ME EN 7210 Optimal Controls – 3 credits
ME EN 7240 Haptics - 3 credits
ROBOT 5000/6000 Robotics 1: Mechanics – 3 credits
ROBOT 5100/6100 Robotics 2: Control – 3 credits
ROBOT 6200 Motion Planning – 3 credits
ROBOT 6500 Advanced Mechatronics – 3 credits

Up to 1 credit from the following may be counted:

BME 6090 Department Seminar – 0.5 credit*
BME 6470 Neural Engineering Research Group (NERG) – 0.5 credit*
ECE 6900/6910/7900/7910 Graduate Seminar – 1 credit
NEUSC 6010 Frontiers in Neuroscience – 1 credit
NEUSC 6030 Neuroscience Journal Club – 1 credit

*Seminars that are 0.5 credits may be taken twice to earn the full credit

Graduate certificate and Master's students must complete a project either with a neural engineering core faculty advisor or project-intensive course.

OPTION 1: RESEARCH PROJECT-TYPE CREDITS - Complete any of the following under the supervision of a neural engineering-affiliated faculty member and with approval from the Director of Academic Studies. Project can include an independent project, an internship project for a company, or a research project as long as it is related to neural engineering:

Undergraduate Minor/Certificate	Graduate Certificate/Master's
BME 3801/4801 bioDesign I or II BME 4990/4995 Research & Internship I or II ECE 3970 Undergraduate Research ECE 3980 Independent Project ECE 3990 Co-op/Internship	BME 6081/6082 bioInnovate I or II BME 6930 Special Project BME 6970 M.S. Research BME 7970 Ph.D. Research Graduate certificate only ECE 6950 Special Study - MS Project ECE 6970 Thesis Research - MS ECE 7970 Thesis Research - PhD Graduate certificate only

OPTION 2: PROJECT-INTENSIVE COURSES - Project-intensive courses can also be used to fulfill the project requirement. Courses may be used for this requirement, even if they are already being used to fulfill a core or elective course requirement.

ECE 6654 / BME 6440 / ROBOT 6400 Neural Engineering & NeuroRobotics – 4 credits
BME 6005 Computational Neuroscience – 3 credits
CS 6353 Deep Learning - 3 credits
ECE 6530 Digital Signal Processing - 3 credits
ECE 6710 Digital VLSI Design – 4 credits
ECE 6780 Embedded Systems Design – 4 credits
ME EN 6240/ROBOT 6500 Advanced Mechatronics – 3 credits
NEUSC 6245 Neurophysiology Lab – 1 credit

NEUROTECHNOLOGY
PROGRAM AND COURSES

Programs and Requirements

Overview

Requirements

HOW TO APPLY

STEPS

APPLICATION CRITERIA

Overview

Requirements

HOW TO APPLY

STEPS

APPLICATION CRITERIA

Overview

Requirements

HOW TO APPLY

STEPS

Overview

Requirements

How to Apply

At a Glance

Course Options

Neural Interfaces

Neural Analysis & Modeling

Neurophysiology

NeuroProstheses/NeuroRobotics

Up to 1 credit from the following may be counted:

NEUROTECHNOLOGY PROGRAM AND COURSES

Programs and Requirements

Overview

Requirements

HOW TO APPLY

STEPS

APPLICATION CRITERIA

Overview

Requirements

HOW TO APPLY

STEPS

APPLICATION CRITERIA

Overview

Requirements

HOW TO APPLY

STEPS

Overview

Requirements

How to Apply

At a Glance

Course Options

Neural Interfaces

Neural Analysis & Modeling

Neurophysiology

NeuroProstheses/NeuroRobotics

NEUROTECHNOLOGY
PROGRAM AND COURSES