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Mestrado Erasmus Mundus Artificial Intelligence for Sustainable Societies

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The Erasmus Mundus Joint Master¿s Programme (EMJM) in Artificial Intelligence for Sustainable Societies (AISS) focuses on sustainability, artificial intelligence and data-driven decisions, and participatory design methods engaging citizens. After completin... Ler mais

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GrauMestrado Erasmus Mundus Semestres4 Créditos120 ECTS
  • Apresentação

    Apresentação

    The Erasmus Mundus Joint Master¿s Programme (EMJM) in Artificial Intelligence for Sustainable Societies (AISS) focuses on sustainability, artificial intelligence and data-driven decisions, and participatory design methods engaging citizens. After completing the master's programme, students understand and can use a participatory design approach for studying and designing AI and data-driven sustainable solutions for societies. The programme is composed of a) Artificial Intelligence (AI) and Data Science, which focuses on AI and data-driven decision-making; b) Sustainable Digital Societies, which tackles, values, diversity, equity and the digital and green skills needed for future societies; and c) Active Citizenship, in which citizen active participation methods; how to enhance engagement in the democratic processes and be able to control own data.
  • Destinatários

    Destinatários

    The programme welcomes students who master the English language, are open-minded, daring, and have a background or strong interest in one of the pillars (AI and Data Science, Sustainable Digital Societies, and Active Citizenship). We welcome students with various backgrounds, including engineering, information technology, biology, geography, environmental sciences, design, social and humanistic studies, cognitive science, statistics, mathematics, and business and management. For more information and application procedure please see AISS programme https://aissprogram.eu/
  • Plano de estudos

    Plano de estudos

    Plano 2024-25
    • 1º Ano / Tronco comum
      • [1º Semestre]
      • Collective Intelligence in Socio-Technical Systems 6 ects
      • Fundamentals of Accessibility 6 ects
      • Introduction to Data Science 6 ects
      • Principles of Service Design 6 ects
      • Sustainable Development Goals and Guidelines 4 ects
      • [2º Semestre]
      • Civic Engagement 6 ects
      • Fundamentals of Statistics for Data Science 8 ects
      • Geographic Information Systems 6 ects
      • Masters Thesis Seminar I 3 ects
      • Research Methods 6 ects
    • 2º Ano / Tronco comum
      • [1º Semestre]
      • Interdisciplinary Project 8 ects
      • Masters Thesis Seminar II 3 ects
      • Sustainable Design 6 ects
      • [2º Semestre]
      • Masters Thesis 24 ects
      • Professional Placement 6 ects
      • Traineeship Abroad 9 ects
  • Observações

    Observações

    The programme is designed together with three universities: -Tallinn University, School of Digital Technologies -Lusófona University, Faculty of Natural Sciences, Engineering and Technology -Tampere University, Faculty of Information Technology and Communication Sciences The programme consists of the following academically dependent specialisations, which are studied in parallel in three different locations: -Starting studies in Tallinn, courses in sustainable societies, and human AI design and collaboration (1st semester 2024/2025) -Continuing in Porto with a mix of electives and compulsory studies concerning AI and Data Science (2nd semester 2024/2025) -Arriving in Tampere, studies include an Interdisciplinary Project course with real clients. (3rd semester 2024/2025) -Last semester focuses on professional placement and Master¿s Thesis and allows students to choose a place from Porto, Tallinn and Tampere (4th semester 2024/2025) Applications made via the link - Artificial Intelligence for Sustainable Societies | Tallinn University (tlu.ee) - https://www.tlu.ee/en/dt/aiss#contact-us

Centro Universitário

Porto | Fac.Ciênc.Naturais,Engª e Tecnol.
CANDIDATAR-ME

Direção do Curso

José Vasconcelos

Secretariado

Raquel Lopes

Requisitos de Graduação

Ter concluído um total de 120 ECTS.

Website Oficial

aissprogram.eu

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