Translate field needs into verifiable system requirements
Degree Program · Physical Sciences & Engineering
Engineering Systems & Field Automation
Develops integrated robotic, sensing, control, and operational systems for field, infrastructure, environmental, agricultural, and research contexts.
Program purpose
Master of Science
The program emphasizes requirements, architecture, reliability, autonomy, human systems, data, safety, and testing across complex operating environments.
Learning outcomes
What graduates are prepared to do
Program outcomes connect disciplinary knowledge to methods, judgment, communication, and independently evaluated work.
Integrate robotic, sensing, data, and human components
Evaluate reliability, safety, maintainability, and operational performance
Deliver a validated engineering system and technical dossier
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
Systems engineering and architecture
- 02
Robotics, sensing, controls, and autonomy
- 03
Field operations, human factors, and safety
- 04
Testing, reliability, and data systems
- 05
Thesis or engineering project
Course sequence
Selected curriculum
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
Applied AI Systems
Builds AI-enabled applications using models, retrieval, tools, evaluation, guardrails, and human review within a documented system architecture.
- Requirement
- Core
- Credits
- 3.0
Technology Enterprise & Innovation
Connects technical capability to customer discovery, value creation, organizational design, finance, operations, intellectual property, and responsible growth.
- 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
Complex Adaptive Systems
Examines emergence, feedback, adaptation, networks, path dependence, scale, and agent interaction across social, biological, environmental, and technological systems.
- Requirement
- Core
- Credits
- 3.0

Learning environments
Field, laboratory & studio work
- Robotics and field automation
- Electronics and sensing
- Fabrication and prototyping
- Applied-project field testing

Professional directions
Where the capability can lead
- Systems engineering
- Robotics and automation leadership
- Field technology and infrastructure
- Product and operational development
- Doctoral study
Culminating work
Capstone, thesis, dissertation, or professional demonstration
A thesis or engineering project delivers a validated field system, operational prototype, or systems-method contribution.
Admissions preparation
Materials and background
Admissions review considers preparation, purpose, prior work, and the fit between the applicant’s goals and the program.
Bachelor’s degree or recognized equivalent
Academic records and evidence of disciplinary or methodological preparation
Statement of purpose identifying questions, methods, and intended outcomes
Writing, research, technical, or professional sample
Two academic or professional recommendations
Faculty & academic leadership
Program relationships
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.