MAArtificial Intelligence for Sustainable Societies
| Study location | Estonia, Tallinn |
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| Type | Postgraduate, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | MA |
| Tuition fee | €2,000 per semester |
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| Entry qualification | Undergraduate diploma (or higher) Master’s level applicants are required to have a Bachelor’s degree or a corresponding qualification.
At least 60% of the possible maximum results is expected in order to qualify for studies in Tallinn University. Please see a list of required documents here. For country-specific requirements please see here. Step-by-step application guides can be found here. We advise you to apply as soon as possible so that the admission specialists can give you feedback before the application deadline and a chance for you to update your application, if necessary. Tallinn University does not accept applications submitted by third parties. Applicants must complete and sign the application form themselves. The entry qualification documents are accepted in the following languages: English / Estonian. You must take the original entry qualification documents along with you when you finally go to the university. All required documents must be uploaded with the application by the application deadline. Applicants who have successfully passed their entrance exam, may be asked to send their educational documents to Tallinn University by post. Specific instructions will be given by the admission specialists to each applicant individually. Please do not send any documents by post until you have personally been asked to do so. Whether any documents are required by post can also be determined by examining Tallinn University’s country-specific requirements. which may state, for example, that the applicant’s Transcript of Records must be sent to Tallinn University by the awarding institution or that a document needs to be certified in a particular way. |
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| Language requirements | English Only applicants who have completed their previous levels of education or their previous studies fully in English in the United States, Canada, the Commonwealth of Australia, New Zealand, United Kingdom, Switzerland or the EU/EEA countries (attested proof from the previous educational institution required), will be exempted from submitting an international language test as a proof of their English proficiency. The following tests with scores outlined are accepted:
Please make sure that the test score you are submitting is still valid. Invalid test scores will not be accepted. Students graduated from International Baccalaureate studies with ENGLISH B Level HL at least grade 6 or ENGLISH A Level with at least grade 5 do not have to prove their English proficiency for B2 level. NB! Students coming from Finland do not have to prove their language proficiency for B2 level if they have at least “magna cum laude approbatur” (pitkä oppimäärä) as the result of the English language exam in their matriculation certificate. More information is available here. |
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| Other requirements | Please see the programme-specific requirements on the website of the Artificial Intelligence for Sustainable Societies MA programme and make sure you have submitted all the required assignments. Students with long-term medical conditions may encounter obstacles in higher education. Aiming to provide equal education, students have the opportunity to apply for adjustments based on their condition. Lecturers have the right to give reasonable adjustments, but this is not an obligation. Applicants applying for adjustments to be made during the admission exams due to their physical or psycho-social special need must submit a copy of medical proof of their special need. Specific requirements for Non-EU applicants: All students are required to pay the first semester’s tuition fee before the beginning of studies. |
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Overview
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.
Programme structure
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.
Career opportunities
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.
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