Center for Digital Agriculture

Master of Engineering in Digital Agriculture

Questions about Course Pathways for Digital Ag Careers?

 John Reid
Executive Director of CDA
digitalag@illinois.edu

With an advanced math and computer science focus, our online, non-thesis Master of Engineering (M.Eng) in Digital Agriculture degree is the first interdisciplinary program specializing in digital agriculture. Designed for students and working professionals interested in learning the in-depth technical aspects of digital agriculture in a fully online environment, the M.Eng in Engineering with a concentration in digital agriculture builds on the groundwork laid by other programs which focus more on training and application of the technology making the agricultural system more efficient, resilient and sustainable.

Cultivate knowledge on your time!

 

Recurring Application Deadlines

  • For Spring Cohorts: November 1 
  • For Summer Cohorts: March 1
  • For Fall Cohorts: June 1
Apply Here

The departments of Agricultural and Biological Engineering, Crop Sciences, and Computer Science at the University of Illinois Urbana-Champaign and the Center for Digital Agriculture are uniquely positioned to capitalize on the digital agriculture industry and make it an attractive location for aspiring students, professionals, and industry partners. Located in the epicenter of the country’s ag industry, UIUC is home to the Illinois Autonomous Farm, the Farm of the Future, the Artificial Intelligence for Future Agricultural Resilience, Management and Sustainability (AIFARMS), and the Center for Research on Programmable Plant Systems (CROPPS) and offers state-of-the-art and world-renowned advanced computing resources through the National Center for Supercomputing Applications.

Course Pathways for Digital Agriculture Careers

The M.Eng. in Digital Agriculture and professional certificate programs provide a flexible, interdisciplinary curriculum that offers courses in Agricultural & Biological Engineering, Computer Science, and Crop Sciences. Tailor your coursework to align with your professional goals in precision agronomy, data science, automation, and related fields. Below is a quick overview of the five recommended course pathways and certificate options designed to prepare graduates for diverse careers in digital agriculture. Check out the full details for each pathway here.

Precision agriculture and agronomy professionals use digital tools to optimize crop production, soil management, and on-farm decision making.

Key Classes

  • Engineering Measurement System
  • Precision Agriculture Engineering
  • Introduction to Spatial Analytics
  • Principles of Crop Production

Relevant Certificates

  • Applied Statistics in Digital Agriculture
  • Custom Digital Ag Certificate

Agricultural data scientists leverage big data, machine learning, and statistical models to generate actionable insights.

Key Classes

  • Data Processing and Analysis
  • Introduction to Data Mining
  • Applied Machine Learning
  • Applied Stats II / Regression Analysis

Relevant Certificate

  • Data Science in Digital Agriculture

Automation and robotics engineers develop autonomous tractors, drones, and robotic systems for farming operations.

Key Classes

  • Principles of Mobile Robotics
  • Autonomous Decision Making
  • Machine Vision for Agricultural Applications
  • Engineering Measurement Systems

Relevant Certificate

  • Automation and Robotics in Digital Ag

AgTech innovators combine technical skills with business acumen to create a deploy new agricultural technologies.

Key Classes

  • Design Thinking for Digital Ag
  • Software Engineering I
  • Topics in Internet of Things
  • Cloud Computing Concepts

Relevant Certificates

  • IoT for Agriculture
  • Custom Digital Ag Certificate

Sustainable ag specialists focus on developing farming systems that are environmentally responsible, resource-efficient, and capable of supporting long-term productivity.

Key Classes

  • Agriculture, Food, and the Environment
  • Native Plants and Agroecosystems
  • Agro-system Complexity and Modeling
  • Data and Uncertainty Analysis

Relevant Certificate

  • Custom Digital Ag Certificate

How to Apply & FAQs

Digital Agriculture is a quickly growing field and a surplus of jobs awaits professionals with a distinctive interdisciplinary combination of skills and backgrounds from agriculture and computer science. These career opportunities are projected to continue growing as agriculture companies continue to advance and bring more technology into their practices.

— Ronaldo Maghirang, ABE Department Head & Professor

Ready to advance your career or make a change?