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.

 

2024-25 Digital Agriculture and AI Graduate Courses 

Of potential interest to CoA students  
Offered during the Fall and Spring Semester  (3 credits course)
*F - Fall  *S - Spring
Title Subject Description Course #

Irrigation Management and Design (*F)

ABE-Agri & Biol Engineering 

52500 

Computer Models in Environmental and Natural Resources Engineering (*F)

ABE-Agri & Biol Engineering 

 

52700 

Plant Phenotyping Technologies (*F)

ABE-Agri & Biol Engineering 

53000 

Instrumentation and Data Acquisition (*F)

ABE-Agri & Biol Engineering 

53100 

Biosensors: Fundamentals and Applications *(F)

ABE-Agri & Biol Engineering 

56000 

Mach Learning IoT & Comp Sys (*S)

ABE-Agri & Biol Engineering 

59100

Environmental Informatics (*F/S)

ABE-Agri & Biol Engineering 

65100 

Mathematical Tools for Agricultural and Applied Economics 

AGEC-Agricultural Economics 

51600 

Introduction To Mathematical Programming (*S)

AGEC-Agricultural Economics 

55200 

Agricultural Marketing and Price Analysis (*S)

AGEC-Agricultural Economics 

50600 

Mathematical Tools for Agricultural and Applied Economics (*S)

AGEC-Agricultural Economics 

 

51600 

Introduction to Mathematical Programming (*S)

AGEC-Agricultural Economics 

55200 

Advanced Plant Genetics (*F)

AGRY-Agronomy 

53000 

Remote Sensing of Land Resources (*F)

AGRY-Agronomy 

54500 

Soil Physics (*F)

AGRY-Agronomy 

56000 

Advanced Agroecology (*S)

AGRY-Agronomy 

59800

Crop Mgt Drone Flt And Imaging (*S)

AGRY-Agronomy

59800CMD

Geospatial Informatics (*S)

AGRY-Agronomy

59800GI

Genomics (*F)

AGRY-Agronomy 

60000 

Quantitative Genetics (*F/S)

AGRY-Agronomy 

61100 

Statistical Hydrology (*F)

AGRY-Agronomy 

64100 

Population Genetics (*F)

ANSC-Animal Sciences 

51100 

Anim Sc Grad Sem (*F/S)

ANSC-Animal Sciences

68100

Introduction To the Application of Inferential Statistics (*F)

ASEC-Agric Sciences Educ &Comm 

58200 

Introduction To Agricultural Informatics (*F)

ASM-Agricultural Systems Mgmt 

53200 

Geographic Information System Application (*F)

ASM-Agricultural Systems Mgmt 

54000 

Hands-On Introduction To AI  (*F)

ASM-Agricultural Systems Mgmt 

59100 

Bioinformatic Analysis of Genome Scale Data  (*F)

BCHM-Biochemistry 

61200 

High Performance Computing for Life Science (*F)

BIOL- Biology  

59500 

Plant Disease Management (*F/S)

BTNY 

53500 

62000

Plant Developmental Genetics (*S)

BTNY

59000

Internet of Things for Information Technology (*F)

CNIT-Computer and Information Technology 

54600 

IT Data Analytics (*S)

CNIT-Computer and Information Technology 

57000

Data Fusion For Machine Learn (*S)

CNIT-Computer and Information Technology 

58100

Machine Learning (*F/S)

ECE

50024

Digital Sys Design Automation (*F/S)

ECE

51216

Artificial Intelligence (*F/S)

ECE 

57000 

Arch & Algos For Autonomy (*F)

ECE

59500

Machine Learning  (*F)

FS-Food Science  

59000 

Remote Sensing Analysis and Applications (*F)

FNR  

55800 

Advanced Spatial Ecology and GIS (*F)

FNR 

58700 

Intr To Computng Fr Biologists (*S)

HORT

53000

Plant Responses to the Environment 

HORT 

55100 

Critical GIS (*S)

ILS

54000

Information Strategies for Science, Technology, and Engineering Research (*F)

ILS 

59500 

Logistics (*F)

MGMT 

56100 

Data Mining (*F/S)

MGMT 

57100 

Python Programming (*S)

MGMT

58600

Big Data And MLOps (*S)

MGMT

59000

Machine Learning (*F/S)

MGMT

59000ML

Accounting Data Analytics (*S)

MGMT

63350

Digital Transform & Al Wrkshp (*S)

MGMT

69000

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.

 

2024-25 Digital Agriculture and AI Graduate Courses 

Of potential interest to CoA students  
Offered during the Fall and Spring Semester  (3 credits course)
*F - Fall  *S - Spring
Title Subject Description Course #

Irrigation Management and Design (*F)

ABE-Agri & Biol Engineering 

52500 

Computer Models in Environmental and Natural Resources Engineering (*F)

ABE-Agri & Biol Engineering 

 

52700 

Plant Phenotyping Technologies (*F)

ABE-Agri & Biol Engineering 

53000 

Instrumentation and Data Acquisition (*F)

ABE-Agri & Biol Engineering 

53100 

Biosensors: Fundamentals and Applications *(F)

ABE-Agri & Biol Engineering 

56000 

Mach Learning IoT & Comp Sys (*S)

ABE-Agri & Biol Engineering 

59100

Environmental Informatics (*F/S)

ABE-Agri & Biol Engineering 

65100 

Mathematical Tools for Agricultural and Applied Economics 

AGEC-Agricultural Economics 

51600 

Introduction To Mathematical Programming (*S)

AGEC-Agricultural Economics 

55200 

Agricultural Marketing and Price Analysis (*S)

AGEC-Agricultural Economics 

50600 

Mathematical Tools for Agricultural and Applied Economics (*S)

AGEC-Agricultural Economics 

 

51600 

Introduction to Mathematical Programming (*S)

AGEC-Agricultural Economics 

55200 

Advanced Plant Genetics (*F)

AGRY-Agronomy 

53000 

Remote Sensing of Land Resources (*F)

AGRY-Agronomy 

54500 

Soil Physics (*F)

AGRY-Agronomy 

56000 

Advanced Agroecology (*S)

AGRY-Agronomy 

59800

Crop Mgt Drone Flt And Imaging (*S)

AGRY-Agronomy

59800CMD

Geospatial Informatics (*S)

AGRY-Agronomy

59800GI

Genomics (*F)

AGRY-Agronomy 

60000 

Quantitative Genetics (*F/S)

AGRY-Agronomy 

61100 

Statistical Hydrology (*F)

AGRY-Agronomy 

64100 

Population Genetics (*F)

ANSC-Animal Sciences 

51100 

Anim Sc Grad Sem (*F/S)

ANSC-Animal Sciences

68100

Introduction To the Application of Inferential Statistics (*F)

ASEC-Agric Sciences Educ &Comm 

58200 

Introduction To Agricultural Informatics (*F)

ASM-Agricultural Systems Mgmt 

53200 

Geographic Information System Application (*F)

ASM-Agricultural Systems Mgmt 

54000 

Hands-On Introduction To AI  (*F)

ASM-Agricultural Systems Mgmt 

59100 

Bioinformatic Analysis of Genome Scale Data  (*F)

BCHM-Biochemistry 

61200 

High Performance Computing for Life Science (*F)

BIOL- Biology  

59500 

Plant Disease Management (*F/S)

BTNY 

53500 

62000

Plant Developmental Genetics (*S)

BTNY

59000

Internet of Things for Information Technology (*F)

CNIT-Computer and Information Technology 

54600 

IT Data Analytics (*S)

CNIT-Computer and Information Technology 

57000

Data Fusion For Machine Learn (*S)

CNIT-Computer and Information Technology 

58100

Machine Learning (*F/S)

ECE

50024

Digital Sys Design Automation (*F/S)

ECE

51216

Artificial Intelligence (*F/S)

ECE 

57000 

Arch & Algos For Autonomy (*F)

ECE

59500

Machine Learning  (*F)

FS-Food Science  

59000 

Remote Sensing Analysis and Applications (*F)

FNR  

55800 

Advanced Spatial Ecology and GIS (*F)

FNR 

58700 

Intr To Computng Fr Biologists (*S)

HORT

53000

Plant Responses to the Environment 

HORT 

55100 

Critical GIS (*S)

ILS

54000

Information Strategies for Science, Technology, and Engineering Research (*F)

ILS 

59500 

Logistics (*F)

MGMT 

56100 

Data Mining (*F/S)

MGMT 

57100 

Python Programming (*S)

MGMT

58600

Big Data And MLOps (*S)

MGMT

59000

Machine Learning (*F/S)

MGMT

59000ML

Accounting Data Analytics (*S)

MGMT

63350

Digital Transform & Al Wrkshp (*S)

MGMT

69000

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