The future of agriculture is written with data
Today, agriculture faces a dual challenge: increasing productivity and sustainability, using natural resources efficiently, and adapting to climate change. In this context, information and data become strategic assets. Analyzing them allows for optimized decisions regarding planting, logistics, costs, and productivity. As agricultural data increases exponentially, the need arises for professionals capable of processing, interpreting, and applying data intelligence in agriculture.
La Diploma in Data Intelligence for Agriculture Its purpose is to introduce the fundamentals of data science and its practical application in agribusiness, providing concrete examples of digital products and solutions that enhance the efficiency and competitiveness of the sector.
This program is designed to professionals and technicians linked to the agricultural, agro-industrial or food sector, interested in incorporating data analysis and artificial intelligence tools to improve management and productivity.
The program no prior technical knowledge required.
This program proposes acquiring a comprehensive training in the use of data and analytical tools applied to the agricultural sector, combining conceptual foundations with real-world practices.
The diploma program is organized into six modules that address the main aspects of data science for agriculture: from data collection and cleaning to predictive modeling, visualization and communication of results useful for decision-making in agribusiness.
Prestigious faculty with academic and professional experience in data science, analytics and agribusiness.
Teaching method with a focus on solving business process problems.
network of contacts between participants and teachers that promotes professional development.
permanent update of content and tools.
La Universidad Austral is in the position #1 as a Privately Managed University in Argentina and Latin America y #1 in Employability in Argentina at the QS Latin American University Rankings & Graduate Employability Ranking.
By being part of our Austral community, you will have access to hundreds of Free Courses and Specializations on Courseraincluding its certification. You will be able to train in Leadership, Programming, Finance, Marketing, Management and Negotiation in a way that allows you to develop your skills and knowledge. 100% flexible, remote and free of charge.
Module 1 • Data Warehousing and Data Governance
Module 2 • Intelligent Data Analysis in Agribusiness
Module 3 • Big Data & Machine Learning for Agriculture
Module 4 • Geo Analytics for Agro
Module 5 • Visualization and Business Intelligence with Power BI
Module 6 • Application Seminar
All classes are taught in Spanish.
It is held twice a week:
Total program duration: 108 hours (91 synchronous hours + 25 asynchronous hours)
METHOD: Online
Faculties of Business Sciences and Engineering of the Universidad Austral will extend the Academic Certificate of Approval of the “Diploma in Data Intelligence for Agriculture” to those who comply with the promotion regime.
It consists of complying with the 75% attendance to classes and submit the final project.
La Universidad Austral has exclusive enrollment benefits regarding current values. These include: corporate agreementsSouthern Community, distance benefits, early registration, among others.
They are subject to quotaFor more information, please consult with the executive in charge.
Master's and Bachelor's degrees in Statistics, specializing in data analysis and research. Experience in interpreting information for strategic decision-making. Executive Director of the Regional Master's Program in Data Science Rosario de Universidad Austral.
Bachelor's degree in Statistics and Master's degree in Biomedical Informatics from Stanford University. Senior Data Scientist at PwC Argentina and lecturer at the Universidad Austral, specializing in machine learning, artificial intelligence and data visualization.
Master of Science in Statistics from The University of Georgia. Professor at the Universidad Austral and co-founder of R in Rosario, a leader in data analysis and visualization with an applied approach.
Agricultural Engineer and Master in Data Science with over 15 years of experience in analytics applied to agriculture, seed production, and quality, at leading companies such as Dow, MacroSeed, and LDC. Currently an Agricultural Data Scientist at Louis Dreyfus Company and a professor at the Universidad Austral, specializing in crop projections, geospatial analysis and predictive modeling.
She shares her experience in teaching computational skills and creating inclusive communities of practice for computer scientists. She has over 30 years of experience in education and 24 years as a researcher.
Agricultural engineer and specialist in AgTech and Data Science, with experience in production analysis, geoanalytics, and models applied to agriculture. Currently a Senior Research Analyst at Louis Dreyfus Company, integrating data, weather, and satellite imagery for strategic decision-making.
Agronomist, professor and CONICET researcher, specializing in soil management, precision agriculture, and geotechnologies. Experience in remote sensing, GIS, and site-specific management projects applied to agroecosystems.
Specialist in strategic planning and data science, focused on transforming information into decisions that drive the organization. He works on real-world execution: data for making choices, focus for action, and performance management to overcome inertia.
La Universidad Austral is #1 in Argentina
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