Sweetpotato with different ag data points shown.

Ag Data Science Certificate

Certificate Overview

Agriculture, food and the life sciences have seen an explosion in data collection. Professionals in industry, agribusiness, government and academia need advanced training on how to properly collect, manage and analyze the data to help inform decisions and improve outcomes.

The graduate certificate in Agriculture Data Science is an interdisciplinary graduate certificate program that applies the power of data science to issues and opportunities in agriculture, food and the life sciences. Housed in NC State’s College of Agriculture and Life Science (CALS), this certificate program brings together faculty and coursework across 15 departments in CALS and the Colleges of Engineering (COE), Sciences (COS) and Natural Resources (CNR).

Bridging the Big Data Divide

The new and innovative Ag Data Science Certificate course is training students to meet the high demand for data science expertise in agriculture.

Read More

What You Can Expect

You will learn data collection, management and analysis methods and how to apply them to practical agriculture, food and life science questions. Our students also have the opportunity to develop additional skills in data mining and artificial intelligence using real-world environments.

Through data mining and predictive modeling, you will learn how to look for useful patterns in large data sets that will help you understand the past and better predict the future. In artificial intelligence and the related processes of machine learning and deep learning, you will create machines and algorithms that not only analyze and understand data but also take the next logical steps dictated by the data.

But most importantly, you will have the flexibility to put your training to work in meeting your educational or career goals.

Apply Now

$1.4 billion

The estimated value of the global agriculture analytics market by 2025, up $800 million in 2020.

Learn more

Admission Requirements and Tracks

A minimum of twelve credits must be completed; six credits from foundation courses and six from one of two tracks depending on your interests and background.

Foundation Courses

ST 525 Statistical Methods and Computing for Data Science
Instructor of Record: Dr. Paul Savariappan. Offered in Fall. Online delivery is available.
Prerequisite: ST 305, or ST 312, or ST 372, or ST 511

BAE 542 SAS Advanced Analytics to Agriculture, Food and Life Sciences Data
Instructor of Record: Dr. Dani Jones. Offered in Spring. Online delivery is available.
Prerequisite: ST 525

12 million

The predicted number of agricultural sensors to be installed around the world by 2023.

Learn more

How to Apply

Certificate Cost

Pricing follows NC State’s standard graduate course structure. Current students might be able to fold most of the certificate courses into their existing graduate program.

How To Apply

If you are a current NC State student, please complete the Graduate Certificate Form and send the completed form to Daniela Jones, Ph.D., with your track intention (A or B).
Follow these instructions: The “Admit term” section refers to the certificate admission semester and the “Expected graduation term” refers to the primary degree seeking. Select 11ADSCTG Agriculture Data Science – CTG from the drop-down menu under “Academic Plan.” No sub-plan is needed if you do not wish to choose a Distance Education sub-plan.
If you are not a current NC State student, complete the graduate student application and the Ag Data Science Interest Form for specific questions about the certificate. Please include a current CV and your track intention (A or B) in your response.