Degree ProgramEngineering, Robotics & Prototyping

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.

01

Translate field needs into verifiable system requirements

02

Integrate robotic, sensing, data, and human components

03

Evaluate reliability, safety, maintainability, and operational performance

04

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.

  1. 01

    Systems engineering and architecture

  2. 02

    Robotics, sensing, controls, and autonomy

  3. 03

    Field operations, human factors, and safety

  4. 04

    Testing, reliability, and data systems

  5. 05

    Thesis or engineering project

Course sequence

Selected curriculum

Browse the course catalog →
Science, measurement, and laboratory methods

Learning environments

Field, laboratory & studio work

  • Robotics and field automation
  • Electronics and sensing
  • Fabrication and prototyping
  • Applied-project field testing
Community, scholarship, and professional practice

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.