Data Science in Agriculture, Food, Forest and Environment
School of Agriculture
Goals
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.
Access and ingress
Fee – 1st year (indicative)
1 250,00€
Fee - remaining years (indicative)
1 250,00€
International student contest
Fee – 1st year (indicative)
2 000,00€
Fee - remaining years (indicative)
2 000,00€
Degree
MSc - Master Degree
ECTS
120
Duração em Semestres
4
Time period
Diurno
Language
PT
Accreditation
A3ES Accreditation
Decision date
Accreditation dealine
6
DGES registration
Registation Nr.
R/A-Cr 165/2022
Registration date
