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Careers

Master data collection, management and analysis methods. Develop expertise in the application of predictive modeling to practical agriculture, food and life science questions in industry, governmental, non-governmental and academics settings. Apply data mining and artificial intelligence expertise to real-world agriculture, food and life science challenges with the knowledge gained from the Graduate Certificate in Agriculture Data Science.

As technology advances and challenges grow in the agriculture and life science industry, the need for sophisticated data analysis and predictive modeling also has grown. Many of the professionals currently working in these industries require additional training in data science in order to take advantage of the latest tools available. These changes have resulted in an increasing demand for scientists, managers, advisors, researchers and engineers who understand both sides of the industry: the life science of agriculture and the data science required to analyze, predict and manage.

This demand is reflected in labor statistics reports that show that job growth for careers like data analyst are predicted to increase over the next decade at a rate of 25%. North Carolina has historically been in the top 10 states hiring for data analysts and data scientists, and in the top 8 states hiring for agricultural-specific positions such as soil scientist.

Job Titles

The Graduate Certificate in Agriculture Data Science is designed to enhance a variety of careers in both the agricultural and life science industries. Explore details about the following commonly held job titles:

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