University of Illinois Urbana-Champaign

How this program compares

At an estimated $9.3K in total tuition, the Certificate in AI and Machine Learning for Digital Agriculture sits roughly 15% below the $11.0K average for AI certificate programs in our database — placing it in the 52nd percentile on cost among the 180 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, agriculture, engineering, or data science is typically required, along with a minimum GPA of 3.0 and demonstrated programming skills in Python or similar languages.

About This Program

This interdisciplinary certificate explores the application of AI and machine learning within the agricultural and biological engineering sectors. Most students complete it in about 1 year.

Estimated total tuition is $9.3K, below the $11.0K average for AI certificate programs in our database and in the 52nd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 35 AI-related programs we track in Illinois, of which about 34% offer an online option. On price, it comes in cheaper than about 91% of the Illinois programs in our data, where typical tuition runs near $71.7K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $110,000.

Develop AI models to predict crop yields and optimize resource use in agriculture.

Career Outcomes

University of Illinois Urbana-Champaign positions this certificate track for Robotics Engineer careers — typical offers cluster around $110,000. Its focus on Machine Learning and Computer Vision maps directly to how employers in agriculture ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 25% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Precision Agriculture Analyst
• 2. Digital Farming Data Scientist
• 3. AgTech Machine Learning Engineer
• 4. Crop Analytics Consultant

What You'll Learn

• Develop AI models to predict crop yields and optimize resource use in agriculture.
• Analyze satellite, drone, and sensor data for precision farming decisions.
• Apply computer vision and deep learning to detect pests, diseases, and plant stress.
• Implement machine learning for soil health monitoring and irrigation efficiency.
• Design automated systems integrating AI with agricultural robotics.

Curriculum Highlights

The 12-credit curriculum features courses in applied machine learning, machine vision, and practical statistical learning for agriculture.

Top Employers

Top employers include agribusiness leaders like John Deere, Corteva Agriscience, Bayer Crop Science, and precision farming firms such as Farmers Edge and The Climate Corporation.

Admissions

Admission to University of Illinois Urbana-Champaign's Certificate in AI and Machine Learning for Digital Agriculture generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions