Data Science in Agriculture, Food, Forest and Environment
Data Science in Agriculture, Food, Forest and Environment
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The importance of training in data science has been highlighted for its role in the economy and society, improving data-driven decision support. Globally, the demand for data scientists is high, with insufficient supply for the needs of the labor market.
In the areas of application of this master's degree, there has been a growing adoption of technologies and practices based on the intensive use of data, in addition to what has already existed in some areas for years (e.g. environment).
Develop competences, through theoretical and practical training, on the application of Data Science to food production systems, environmental quality management and natural resources