The Neurotechnology certificate prepares students for internships and entry-level careers in neurotechnology, the medical device industry, research and development jobs, or to enter graduate programs in neural engineering, neuroscience, computer science, and biomedical engineering, and electrical engineering. The certificate is more rigorous than the Neurotechnology minor, as it requires additional coursework and a higher GPA.
Requirements
- Complete a minimum of 20 credits, including:
- 2 Foundational courses
- 2 Core Courses
- 2 Elective Courses
- Additional credits can come from any category of Neuro Course List
- Must receive a B- grade or higher in certificate coursework and CR grades in seminars and project-related credits
Neuro Course List
Complete 1 course from each category:
Category 1: Circuits
- Electrical Engineering for Non-Majors (ECE 2210)
- Fundamentals of Engineering Electronics (ECE 2280)
- Biosystems Analysis and Modeling (BME 4101)
Category 2: Signals & Systems
- Biosignals (BME 3101)
- Fundamentals of Signals and Systems (ECE 3500)
- Dynamic Systems and Control (MEEN 3220)
Complete 2 courses (must be from different core areas):
Core Area 1: Neural Interfaces
- ECE 6960 Commercialization of Neural Technology (3 credits)
Core Area 2: Neurophysiology
- NEUSC 6050 Systems Neuroscience (4 credits)
Core Area 3: NeuroRobotics
- Neural Engineering & NeuroRobotics (4 credits)
Cross-listed as BME 6440, ECE 6654, or ROBOT 6400
Core Area 4: Neural Analysis & Modeling
- ECE 6535 Mathematical Tools for Neural Data Analysis & Modeling (3-4 credits)
- BME 6005 Computational Neuroscience (3 credits)
Complete 2 courses (must be from different categories):
Category 1: Neural Interfaces Electives
- CS 7710 Neuromorphic Architecture – 3 credits
- ECE 5480 Diagnostic and Therapeutic Ultrasound – 3 credits
- ECE 6215 Biomedical Micro Devices – 3 credits
- ECE 6226 Electrical Interface MEMS – 3 credits
- ECE 6245 Design and Simulation Microsystems – 3 credits
- ECE 6330 Health Technology – 3 credits
- ECE 6360 Bioinstrumentation – 3 credits
- ECE 6710 Digital VLSI Design – 4 credits
- ECE 6730 Radio Frequency Integrated Circuit Design – 3 credits
- ECE 6780 Embedded Systems Design – 4 credits
- ECE 7310 Advanced Topics in Magnetic Resonance Imaging – 3 credits
- ECE 7620 3-D Reconstruction Techniques in Medical Imaging – 3 credits
Category 2: Neurophysiology Electives
- BME 3202 Physiology for Engineers – 3 credits
- BME 6003 Cellular Electrophysiology & Biophysics – 3 credits
- BME 6230 Musculoskeletal Functional Anatomy for Engineers – 3 credits
- BME 6302 Biomaterials – 3 credits
- BME 6460 Electrophysiology & Bioelectricity of Tissues – 3 credits
- NEUSC 6040 Cellular and Molecular 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
Category 3: NeuroRobotics
- Robotics 1: Mechanics (ROBOT 5000/6000)
- Robotics 2: Control (ROBOT 5100/6100)
- Motion Planning (ROBOT 6200)
- Advanced Mechatronics (ROBOT 6500)
- Haptics (ROBOT 7400)
- Robot Manipulation and Mobility (ROBOT 7000)
- System Identification for Robotics (ROBOT 7010)
- Virtual Reality (CS 5360/6360)
- Human-Computer Interaction (CS 6540)
- State Space Control (ECE 5652/6652)
- Nonlinear Controls (MEEN 7200)
- Optimal Controls (MEEN 7210)
- Adaptive Control (ECE 6570)
- Advanced Image Processing (CS 7640)
- Computer Vision (CS 5320 / ECE 6657)
Category 4: Neural Analysis & Modeling
- BME 6433 Biological Statistical Processing - 3 credits
- CS 6210 Advanced Scientific Computing - 3 credits
- CS 6300 Artificial Intelligence - 3 credits
- CS 6353 Deep Learning - 3 credits
- ECE 6520 Information Theory - 3 credits
- ECE 6530 Digital Signal Processing - 3 credits
- ECE 6540 Estimation Theory - 3 credits
- MATH 6070 Mathematical Statistics - 3 credits
- MATH 6440 Advanced 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
None are required, but up to 1 credit of seminar and 4 credits of project-type credits may be used to fulfill the 20 credit requirement.
Seminars
- BME 6470 Studies in Neural Engineering / Neural Engineering Research Group
- NEUSC 6010 Frontiers in Neuroscience
- NEUSC 6030 Neuroscience Journal Club
- BME 6090 Biomedical Engineering Seminar
- ECE 6900/6910 Electrical Engineering Seminar - not recommended for students interested in pursuing an ECE Master's Degree. Please speak to advisor.
- ROBOT 5800 Robotics Seminar
Project
- Independent Study / Independent Project
- Research & Internship / Co-operative Education
- Honors Project / Honors Thesis
HOW TO APPLY
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