GRADUATE Education

The College of Agriculture offers a variety of advanced learning opportunities for graduate students to deepen their expertise in data science and digital agriculture. By engaging in these programs, you will gain the skills necessary to lead in this dynamic field and contribute to the growth and success of digital agriculture, both within Indiana and beyond.

Student working with advance technology on a field

At the graduate level, Purdue Agriculture offers a Graduate Certificate in Spatial Data Science that is 100% online delivery.

Purdue also offers a Graduate Certificate in Geospatial Information Science (GIS) through Purdue Libraries and the School of Information Studies.

Graduate Certificate in Livestock Data Science. This Graduate Certificate in Livestock Data Science will provide various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production. 

2025-26 Digital Agriculture and AI Graduate Courses 

Of potential interest to CoA students  
Offered during the Fall and Spring Semester  (3 credits course)

Student working with advance technology on a field

At the graduate level, Purdue Agriculture offers a Graduate Certificate in Spatial Data Science that is 100% online delivery.

Purdue also offers a Graduate Certificate in Geospatial Information Science (GIS) through Purdue Libraries and the School of Information Studies.

Graduate Certificate in Livestock Data Science. This Graduate Certificate in Livestock Data Science will provide various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production. 

2025-26 Digital Agriculture and AI Graduate Courses 

Of potential interest to CoA students  
Offered during the Fall and Spring Semester  (3 credits course)

Zhihang Song working collecting data in greenhouse lab

Graduate Student Spotlight

Graduate students, like Zhihang Song, are working on the forefront of digital agriculture. Song is helping to develop simple sensing technology that evolved into LeafSpec, a pioneering handheld corn leaf hyperspectral image scanner that detects disease, herbicide and nutrient stress.

 Learn more about Song's research