Erasmus Mundus Masters Artificial Intelligence for Sustainable Societies

• What will I learn in this course?

  What will I learn in this course?

  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.

• Entry requirements and conditions

  Entry requirements and conditions

• Profile of the candidates for whom the course is intended

  Profile of the candidates for whom the course is intended

  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/

• Study plan and curriculum structure

  Study plan and curriculum structure

  • 1º Ano / General path
    • [1º Semestre]
    • Collective Intelligence in Socio-Technical Systems 5 ects
    • Fundamentals of Accessibility 6 ects
    • Introduction to Data Science 6 ects
    • Principles of Service Design 5 ects
    • United Nations Sustainable Development Goals 4 ects
    • Option I

    • [2º Semestre]
    • Fundamentals of Statistics for Data Science 8 ects
    • Geographic Information Systems 6 ects
    • Research Methods 5 ects
    • Sustainable Design 5 ects
    • Option II
  • 2º Ano / General path
    • [1º Semestre]
    • Civic Engagement 6 ects
    • Dissertation Seminar 8 ects
    • Interdisciplinar Project 10 ects
    • Option III

    • [2º Semestre]
    • Master Dissertation 30 ects

• Options

  Options

  • Option I
    • Active Academic Reading and Writing (Option I) 4 ects
    • Data-Driven Decision Making and Change Management in Organisations (Option I) 4 ects
    • Introduction to Sustainable Digital Life (Option I) 4 ects
    • MOOCs (Option I) 4 ects
    • Other Course Units Approved by the Scientific Council (Option I) 4 ects
  • Option II
    • Applied Programming for Data Science (Option II) 6 ects
    • Content Creation for Immersive Digital Services (Option II) 6 ects
    • Other Course Units Approved by the Scientific Council (Option II) 6 ects
    • Topics on Machine Learning and its Applications (Option II) 6 ects
  • Option III
    • Conversational Interaction with Artificial Intelligence (Option III) 6 ects
    • Information Analytics and Visualisation (Option III) 6 ects
    • Other Course Units Approved by the Scientific Council (Option III) 6 ects
    • Practice (Option III) 6 ects
    • Traineeship Abroad (Option III) 6 ects

• Observations

  Observations

  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

Partners

Official Website

aissprogram.eu