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MAArtificial Intelligence for Sustainable Societies

Õppemaks 2 000 € semestris


The program is designed together with three universities: Tallinn University, School of Digital Technologies; Tampere University, Faculty of Information Technology and Communication Sciences; and Lusófona University, Faculty of Natural Sciences, Engineering. In addition, societal NGOs and industry partners such as Citizen OS, Estonian Anthropocene Center NGO, Lääne-Harju municipality, Inspirators!.

The Erasmus Mundus Joint Master’s Programme (EMJM) in Artificial Intelligence for Sustainable Societies 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 consists of the following academically dependent specialisations, which are studied in parallel in 3 different locations:

  • Enrolling in Tallinn, basic studies in sustainable societies, AI and data and design.
  • Continuing in Porto with a mix of electives and basic studies.
  • Arriving at Tampere, studies are in the form of an Interdisciplinary Project-based course with real clients.
  • Last semester focuses on professional placement and master’s thesis and allows students to choose a place from Tampere, Tallinn and Porto for their studies.


Energy efficiency: AI can improve energy efficiency in areas such as smart homes and the energy efficiency and sustainability of artificial intelligence and data management.

Environmental monitoring: AI-powered sensors and cameras can monitor and detect environmental threats such as deforestation, oil spills, and wildlife poaching, especially when combined with space data and citizen-provided data.

Waste reduction: AI can support waste reduction efforts through recycling and waste management processes optimisation and understanding and analysing the change from a societal perspective.

Sustainable transportation: AI can help reduce carbon emissions and support the development of sustainable transportation options, such as redesigning public transportation integrating with bicycling, walking, space planning and logistics. Again, the approach also includes designing and evaluating the human-centric aspect of the change from the point of view of accessibility, equality, diversity and habit change.

Ethics and responsibility: The use of AI in sustainability must be guided by ethical and responsible principles to ensure the technology is used for the greater good. This needs a historical and societal understanding of values, changes in values and how to avoid, e.g., hidden biases. Design that takes into account human, environmental and business aspects, responsible, service, interactions, environmental, transport design.

Societal sustainability: planning of places and places, service designs, societal processes, service accessibility, processes, places and spaces. In addition to media literacy, the ability to critically evaluate the mediating technologies and their impact on society.

Active citizenship: AI and Data-driven fair citizen services and activities, deliberative democracy negotiations, social media analysis and detecting fake news.

PhD positions: Excellent student can apply for the doctoral programs in related research fields within state or research project proposed PhD candidate openings.

Kandideeri! Fall semester 2024/25
Kandideerimisperiood on lõppenud
Õpingute algus
26. aug 2024
Kandideeri! Fall semester 2024/25
Kandideerimisperiood on lõppenud
Õpingute algus
26. aug 2024