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.
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.
All parts of the application, including the application fee, must be received by the application deadline. Late applications may not be accepted. In addition, incomplete applications will be subject to denial. All admission decisions will be communicated via email to the email address provided in the application.
1. What is Digital Agriculture?
Using digital technologies (e.g., sensors, data analytics, robotics, artificial intelligence, etc.) to make the agricultural system more efficient, more resilient, and more sustainable.
2. How will students choose courses?
Students will work closely with academic and faculty advisors to select courses based on their preferred track.
3. What are ideal areas of expertise/undergraduate majors for this degree?
As a multi-disciplinary program, there are several undergraduate majors that would be a good fit, including but not limited to Agricultural and Biological Engineering, Computer Science, Crop Sciences, Electrical or Computer Engineering, Mechanical Engineering, Statistics, Systems Engineering, and more. Please review the curriculum for this program. This will outline the required coursework as well as elective options. Click on these individual courses to see what prerequisites or foundational courses are generally required.
4. Do I need to have programming experience to be successful in this degree?
To succeed in graduate-level computer science courses required for this program, candidates must have prerequisite coursework or commensurate experience in object-oriented programming, data structures, algorithms, linear algebra, and statistics/probability. Applicants interested in pursuing automation and data science-related themes in this program are strongly encouraged to complete courses in these areas at a local university, via the iCAN Program, or as non-degree online courses from Campus Graduate Certificate Programs before enrolling to this Program. Applicants who can not present transcripted grades for the courses mentioned above would be required to pass the Data Structures Proficiency exam to be eligible for admission.
5. Are there scholarships or financial aid?
This is a self-funded degree and does not come with assistantships or tuition waivers. You can apply for student loans and other government financial aid. Some employers also offer tuition assistance for these types of programs.
6. How do I apply?
You can apply for the master’s degree or certificate here.
Please email Christina Tucker, (firstname.lastname@example.org), Director of Education for the Center for Digital Agriculture
Venture capitalists invested $671.6 million in Ag Tech in 2019 and the demand for industry leaders with innovative ideas is higher than ever. Professionals and students in the following fields could jump start new career opportunities and benefit from the well-rounded curriculum:
“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