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.

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.
- Master of Science in Data Science
- Post Graduate Program in AI & ML
- Master's in Applied Geospatial Analytics
2025-26 Digital Agriculture and AI Graduate Courses

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.
- Master of Science in Data Science
- Post Graduate Program in AI & ML
- Master's in Applied Geospatial Analytics
2025-26 Digital Agriculture and AI Graduate Courses

Graduate Student Spotlight
Pathak’s research, funded through IoT4Ag, a US NSF-funded Engineering Research Center, focuses on data science and digital agriculture, including data modeling and simulations, and remote sensing technologies. He’s particularly interested in tools that can be used by extension educators and even farmers themselves.