Design and analyze electrical and embedded systems
Degree Program
Engineering, Robotics & Prototyping
Engineering, Robotics & PrototypingDegree Program · Physical Sciences & Engineering
Electrical Systems, Sensing & Robotics
Integrates electronics, embedded systems, sensors, controls, robotics, field automation, data acquisition, and engineering design.
Program purpose
Bachelor of Science
The program prepares students to build reliable systems that sense environments, make decisions, control physical processes, and operate under real-world constraints.
Learning outcomes
What graduates are prepared to do
Program outcomes connect disciplinary knowledge to methods, judgment, communication, and independently evaluated work.
Integrate sensors, actuators, power, communication, and controls
Develop robotic and automated systems for field conditions
Verify performance through structured engineering tests
Curriculum architecture
How the pathway is organized
Coursework progresses from foundations to methods, integration, and a culminating demonstration of capability.
Foundations
Build the knowledge, skills, and mindset for inquiry.
Application
Apply methods and tools to real-world questions.
Integration
Synthesize across disciplines and perspectives.
Demonstration
Produce and present work that creates impact.
- 01
Mathematics, physics, and programming foundations
- 02
Circuits, electronics, sensing, and embedded systems
- 03
Controls, robotics, automation, and communication
- 04
Design, fabrication, systems engineering, and safety
- 05
Engineering capstone
Course sequence
Selected curriculum
PHY-110
Physics of Measurement
Introduces mechanics, energy, waves, electricity, measurement, units, uncertainty, and experimental reasoning through practical systems.
- Requirement
- Core
- Credits
- 3.0
Computational Thinking & Programming
Introduces programming, algorithms, data, abstraction, testing, and computational problem solving through research and applied examples.
- Requirement
- Core
- Credits
- 3.0
Electronics, Sensors & Data Acquisition
Builds practical foundations in circuits, analog and digital sensing, embedded systems, signal conditioning, and reliable data acquisition.
- Requirement
- Core
- Credits
- 3.0
Robotics & Field Automation
Integrates mechanical design, electronics, sensing, controls, autonomy, and field testing for robotic and automated systems.
- Requirement
- Core
- Credits
- 3.0
Machine Learning Foundations
Introduces supervised and unsupervised learning, model evaluation, features, data quality, bias, and responsible application.
- Requirement
- Core
- Credits
- 3.0
Engineering Systems Capstone
Guides an engineering project from requirements and risk through design, prototype, test, documentation, and demonstration.
- Requirement
- Core
- Credits
- 4.0
Learning environments
Field, laboratory & studio work
- Electronics laboratory
- Robotics and field automation
- Fabrication and prototyping
- Sensor testing and data acquisition
Professional directions
Where the capability can lead
- Electrical and embedded systems
- Robotics and automation
- Field and agricultural technology
- Test and systems engineering
- Graduate study in engineering
Culminating work
Capstone, thesis, dissertation, or professional demonstration
A senior engineering capstone delivers an integrated sensing, robotic, or automated system with requirements, safety, verification, and demonstration.
Admissions preparation
Materials and background
Admissions review considers preparation, purpose, prior work, and the fit between the applicant’s goals and the program.
Secondary-school completion or recognized equivalent
Academic records demonstrating preparation for college-level work
Statement connecting the applicant’s interests to the program
Writing or project sample when relevant to the pathway
Next step
Connect this pathway to your academic goals.
Request information for a focused conversation or begin an application through the Stella Nova Student Information System.