Home » Master of Engineering | Digital Agriculture » Program Eligibility
The Digital Agriculture M.Eng degree and professional certificate programs are targeted to working professionals and international candidates in the agriculture industry related to fields of technology, automation, computing, infrastructure, data handling, management and genomics.
Recent graduates of engineering and CS+X programs (UIUC) who plan to pursue careers in the agricultural industry and Illinois Computing Accelerator for Non-Specialists (iCAN) graduates looking for a career in food and agricultural sciences would also be considered strong fits for the program.
Applicants should hold a 4-year bachelor’s degree (or equivalent). Applicants whose undergraduate degree is a three-year program may not be eligible for graduate-level admissions consideration at the University of Illinois Urbana-Champaign (UIUC). Eligibility depends on the country where the applicant received their degree – please see the Graduate College’s list of eligible degrees.
The recommended undergraduate GPA for applicants applying is a 3.2/4.0 for the last two years of undergraduate study.
UIUC policy requires applicants to hold at least a 3.0/4.0 or higher GPA in the last two years of their undergraduate study to be eligible for graduate studies. Applicants are not required to provide GRE scores; however, as per UIUC Graduate College Requirements, all applicants whose native language is not English are required to submit the TOEFL or IELTS results as evidence of English proficiency. TOEFL or IELTS scores must be less than two years old from the first day of class at the proposed term of entry to be valid.
Applications for this program do not require letters of recommendation. However, they will be considered if included, especially if used to justify experience in place of required coursework or other irregularities.
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 in this program.
Below is a list of the UIUC course descriptions that are prereqs for the CS portion of the degree. You can use these descriptions to help find equivalent courses at your home institution or a local community college. The data structures course is important for several of the graduate-level CS courses.
Basic concepts in computing and fundamental techniques for solving computational problems. Intended as a first course for computer science majors and others with a deep interest in computing. Credit is not given for both CS 124 and CS 125. Prerequisite: Three years of high school mathematics or MATH 112.
Credit Hours: 3
Discrete mathematical structures frequently encountered in the study of Computer Science. Sets, propositions, Boolean algebra, induction, recursion, relations, functions, and graphs. Credit is not given for both CS 173 and MATH 213. Prerequisite: One of CS 124, CS 125, ECE 220; one of MATH 220, MATH 221.
Credit Hours: 3
Data abstractions: elementary data structures (lists, stacks, queues, and trees) and their implementation using an object-oriented programming language. Solutions to a variety of computational problems such as search on graphs and trees. Elementary analysis of algorithms. Credit is not given for CS 277 if credit for CS 225 has been earned. Prerequisite: CS 126 or CS 128 or ECE 220; One of CS 173, CS 413, MATH 213, MATH 347, MATH 412, or MATH 413.
Credit Hours: 4
If you don’t have local options for classes similar to this, the University of Illinois Springfield has online versions of them, such as CSC 225 and 275, CSC 302, and CSC 385.
You can use https://www.transferology.com/school/illinois to help determine if the courses you have taken are equivalent to the UIUC courses listed above.
Applicants who do not have transcriptable classes in these topics but have equivalent work experience should make sure their application materials (Statement of Purpose, resume, and reference letters) describe the skills/experience accordingly.