Neural Engineering
The Bachelor of Science in Neural Engineering is a four year interdisciplinary program designed to provide students with an in depth understanding of the interface between neuroscience, engineering, and computational modeling. The curriculum emphasizes analytical thinking, problem solving, technical skills, and research methodology, enabling students to explore how engineering principles can be applied to understand, repair, and enhance neural systems. Through lectures, laboratory work, and hands on projects, students develop the theoretical knowledge and practical expertise needed to design neural devices, study brain function, and contribute to innovations in neurotechnology and biomedical engineering.
Students gain extensive hands on experience in neural signal analysis, computational modeling, neuroimaging, and biomedical device development, strengthening technical proficiency, critical reasoning, collaborative skills, and experimental design. The program integrates core courses in neuroscience, biomedical engineering, and computational methods with electives and applied research opportunities, allowing students to specialize in areas such as brain machine interfaces, neural prosthetics, or neuroinformatics. By combining engineering techniques with neuroscience knowledge, graduates acquire the skills necessary to pursue careers in medical technology, research institutions, healthcare innovation, or advanced graduate studies in neural engineering, computational neuroscience, or related fields.
Key information
Key Facts
- Program Title: Neural Engineering
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Illinois Urbana-Champaign, United States
- Field of Study: Neuroscience
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Neural Engineering
- Introduction to Neural Engineering
- Fundamentals of Neuroscience
- Engineering Principles for Biomedical Applications
- Academic Writing and Research Skills
Year 2 - Core Studies in Neural Engineering
- Neurophysiology and Neural Systems
- Computational Modeling of Neural Activity
- Biomedical Signal Processing
- Experimental Design and Data Analysis
Year 3 - Advanced Topics & Research
- Brain Machine Interfaces
- Neural Prosthetics and Rehabilitation Engineering
- Neuroimaging and Data Interpretation
- Elective Courses in Neuroscience or Engineering
Year 4 - Capstone & Professional Preparation
- Senior Research Project in Neural Engineering
- Advanced Seminar in Neural Systems and Technology
- Internship / Experiential Learning
- Career Preparation and Professional Skills
Career Opportunities
Graduates of this program are prepared for careers in neurotechnology, biomedical engineering, healthcare, and research. They often work in neural device development, brain machine interface research, rehabilitation engineering, computational neuroscience, and biomedical consulting, applying their interdisciplinary knowledge and technical skills to design and implement innovative solutions. Many graduates also pursue advanced degrees in neural engineering, biomedical engineering, computational neuroscience, or related fields, leveraging their expertise to contribute to technological innovations, clinical applications, and research advancements. The combination of practical experience, technical proficiency, and theoretical knowledge ensures graduates are ready to succeed in complex, interdisciplinary, and rapidly evolving professional environments.
Why Choose This Program
This program is ideal for students seeking a comprehensive interdisciplinary education that merges neuroscience and engineering to address challenges in neural systems and biomedical technology. It emphasizes hands on research, applied engineering solutions, computational modeling, and professional skill development, preparing students for careers in healthcare, research, and technology innovation. Students engage in laboratory experiments, engineering projects, neuroimaging studies, and faculty guided research, gaining practical experience and professional expertise. The four year curriculum allows in depth exploration of neural systems, engineering applications, and computational approaches, ensuring graduates are equipped to contribute to cutting edge research, clinical innovations, and technological advancements in neural engineering and related fields.
Contact Information
For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States
