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Data Science in Agriculture, Food, Forest and Environment

Data Science in Agriculture, Food, Forest and Environment

Degree 
MSc - Master Degree
School 
School of Agriculture
Time period 
Day time
Duration 
4
ECTS 
120
Language 
PT
Data de Acreditação A3ES 
06/29/2022
Prazo de Acreditação A3ES 
6 anos
Official Portuguese Code (DGES) Number 
R/A-Cr 165/2022
Official Portuguese Code (DGES) Registration Date 
08/23/2022

1

     

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).

Objectives 

Develop competences, through theoretical and practical training, on the application of Data Science to food production systems, environmental quality management and natural resources

Career prospects 
Data scientist in production and management of natural resources, with applications in precision agriculture, forestry production, food production and the environment. Problem identification, modelling and solution implementation on environmental big data.
Fee – 1st year (indicative) 
1250.00€
Fee - remaining years (indicative) 
1250.00€

International Access

Fee - 1st year (indicative) 
2000,00€
Fee - remaining years (indicative) 
2000,00€