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Digital Agriculture Program Curriculum

Students completing the masters degree will need to complete 32-hours of degree requirements, with only 400- and 500-level coursework will be counted, with a minimum of 12 credit hours of 500-level courses required. Eight hours of Agricultural and Biological Engineering coursework, four hours of Computer Science coursework, four hours of Crop Sciences coursework, and four hours of Capstone or Professional Practicum.

Professional Development Credit can be acquired through an activity such as an internship with a company, laboratory or agency with a subsequent archivable report, a design project performed under a faculty mentor or a transcripted business-oriented or leadership course.

Students must finish with a 3.0 GPA or higher to achieve the Master of Engineering degree.

Masters Degree Core Requirements

Choose two of the following:

Course CodeCourse NameCredit Hours
ABE 425 Engineering Measurement Systems 4
ABE 426Principles of Mobile Robotics 4
ABE 440Applied Statistical Methods I 4
ABE 526Autonomous Decision Making 4

Choose one of the following:

Course CodeCourse NameCredit Hours
CS 411 Database Systems 4
CS 437Topics in Internet of Things 4
CS 441 Applied Machine Learning 4

Choose one of the following:

Course CodeCourse NameCredit Hours
CPSC 444. Introduction to Spatial Analytics 4
CPSC 505Research Methods in Crop Science 4

Professional Development

Course CodeCourse NameCredit Hours
ENG 572 Professional Practicum 4
ENG 573Capstone Project 4
OptionalSelect a different advisor-approved course(s)

Elective courses

Agricultural and Biological Engineering Courses

Course CodeCourse NameCredit Hours
ABE 426 Principles of Mobile Robotics 4
ABE 425Engineering Measurement Systems 4
ABE 440Applied Statistical Methods I 4
ABE 526Autonomous Decision Making 4
ABE 598Agro-ecosystem Complexity and Modeling 4
ABE 498Machine Vision for Agricultural and Industrial Applications 4
ABE 498Precision Agriculture Engineering 4
ABE 498Convergence of Data and Science 4
ABE 498Understanding Human Impact of A.I. 2

Crop Sciences Courses

Course CodeCourse Name Credit Hours
CPSC 505 Research Methods in Plant Sciences 4
CPSC 563Chromosomes 3
CPSC 588Plant Biochemistry 4
CPSC 415Bioenergy Crops 3
CPSC 466Genomics for Plant Improvement 2
CPSC 413Agriculture, Food and The Environment 2
CPSC 416Native Plants and Agroecosystems 4
CPSC 412Principles of Crop Production 3
CPSC 444Introduction to Spatial Analytics 4
CPSC 541Regression Analysis 4
CPSC 540Applied Statistical Methods II 4
CPSC 543Applied Multivariate Statistics 4
CPSC 486Plant Growth and Development 3
CPSC 527Weed Science and Management 3
CPSC 555Crop Germplasm Resources 2
CPSC 466Genomics for Plant Improvement 2
CPSC 499Data Processing and Analysis 3

Computer Science Courses

Course CodeCourse NameCredit Hours
CS 410 Text Information Systems 4
CS 418Interactive Computer Graphics 4
CS 445Computational Photography 4
CS 411Database Systems 4
CS 412Introduction to Data Mining 4
CS 425Cloud Computing Concepts 4
CS 484Parallel Computing 4
CS 441Applied Machine Learning 4
CS 498Cloud Computing Applications 4
CS 416Data Visualization 4
CS 437Topics in Internet of Things 4
CS 435Cloud Networking 4
CS 421Programming Languages and Compilers 4
CS 427Software Engineering I 4