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Postgraduate Program in Geospatial Data Science

CDG

Postgraduate Program in Geospatial Data Science

The Postgraduate Program in Geospatial Data Science provides the necessary skills for the analysis, modeling, and visualization of geographic information, and aims to train professionals for the role of artificial intelligence, programming, and data mining in the development of solutions to challenges and societal problems in the public and private sectors.

This program is developed in collaboration with UNIGIS, an international network that brings together the best schools in Geographic Information Systems and Science and it gives access to the Geospatial Intelligence (GEOINT) certificate accredited by the United States Geospatial Intelligence Foundation (USGIF).

This Postgraduate program is taught in b-learning and e-learning formats. It gives access to the Master Degree Program in Geographic Information Systems and Science.

The applications for this program are open between April 9th and May 7th, 2024. To apply, click here.

  • Vagas

    Format

    E-Learning and B-Learning

  • Media

    Length and ECTS

    2 semesters (60 ECTS)

  • Semestres (1)

    Attendance

    2 to 3 times a
    week (after 6 p.m.)

  • Lingua (1)

    Start Date

    September 2023

Accredited by

  • USGIF
    United States Geospatial Intelligence Foundation

Partner Entity

  • Unigispt
    UNIGIS
Who is it for? image

Who is it for?

The Postgraduate Program in Geospatial Data Science aims to train managers and staff able to analyze, modeling, and visualize geographic information in environments with large amounts of data.

This Program is taught in Portuguese and aims at everyone from Portuguese-speaking African countries but also Portugal, Brazil, Timor, and Portuguese communities all over the world, who is interested in continuing their studies by getting a Postgraduate diploma and/or a master's degree in a Portuguese university.

Goals

This program provides the knowledge and skills needed to:

  • Understand and contribute to the great technical and social challenges created by computing environments rich in geospatial data including its architecture, integrity and management;

  • Understand how geospatial data can be acquired and used to support various analysis, modeling, and geovisualization processes in large data environments;

  • Understand how artificial intelligence, programming and data mining can be used to intelligently enhance the typical concepts and flows of geographic information science and thus provide institution-centric solutions to a wide variety of challenges and societal problems across public and private sectors.

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