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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
Semesters
4
Time period
Diurno
Language
PT/EN

Accreditation

A3ES Accreditation

Decision date
Accreditation dealine
6

DGES registration

Registation Nr.
R/A-Cr 165/2022
Registration date
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