Official curriculum
Artificial Intelligence for Sustainable Societies
A two-year, 120 ECTS Erasmus Mundus Joint Master’s programme taught in English across Tallinn University, Lusófona University and Tampere University.
The programme develops the knowledge and skills needed to design and develop sustainable digital societies. Students learn to address diversity, accessibility, ethics and culture through artificial intelligence and data-driven approaches.
International mobility
Your study path
Students study at all three partner universities and choose the most appropriate location for their final semester.
- 01 — Tallinn University
First semester · Estonia - 02 — Lusófona University
Second semester · Portugal - 03 — Tampere University
Third semester · Finland - 04 — Master’s thesis
Final semester · Location chosen according to the thesis topic and supervisor availability
120 ECTS
Modules and courses
The curriculum combines compulsory foundations, individual elective choices, research competences, professional practice and an independent Master’s thesis.
- Core Courses54 ECTS
- Elective Courses12 ECTS
- Harmonising Courses4 ECTS
- Research Competences20 ECTS
- Professional Placement6 ECTS
- Master’s Thesis24 ECTS
Core Courses — 54 ECTS, compulsory
- Principles of Service Design 6 ECTS
- Sustainable Design 6 ECTS
- Fundamentals of Accessibility 6 ECTS
- Collective Intelligence in Socio-Technical Systems 6 ECTS
- Civic Engagement 6 ECTS
- Sustainable Development Goals and Guidelines 4 ECTS
- Introduction to Data Science 6 ECTS
- Fundamentals of Statistics for Data Science 8 ECTS
- Geographic Information Systems 6 ECTS
Elective Courses — choose at least 12 ECTS
Electives allow students to build an individual specialisation and career profile. Choices can reflect personal interests and the topic of the Master’s thesis.
- Users and Digital Literacy 6 ECTS
- Digital Dismodernity: Inclusion and the Diagnostic Society 6 ECTS
- Information Visualization and Representation 6 ECTS
- Data Driven Decision Making and Change Management in Organisations 6 ECTS
- Topics on Machine Learning and its Applications 6 ECTS
- Applied Programming for Data Science 6 ECTS
Harmonising Courses — choose at least 4 ECTS
These courses address skills or knowledge gaps in artificial intelligence and ethics, sustainability or academic writing. Selection is based on prior knowledge, individual needs and study specialisation.
- Introduction to Sustainable Digital Life 4 ECTS
- Active Academic Reading and Writing 4 ECTS
- MOOCs 4 ECTS
Research Competences — 20 ECTS, compulsory
This module develops scientific thinking and the ability to apply research methods in an international and interdisciplinary setting.
- Interdisciplinary Project 8 ECTS
- Master’s Thesis Seminar I 3 ECTS
- Master’s Thesis Seminar II 3 ECTS
- Research Methods 6 ECTS
Professional Placement — choose at least 6 ECTS
Professional placement gives students an opportunity to apply programme knowledge and skills in real-life settings and reflect on their practice.
- Traineeship Abroad 9 ECTS
- Practice 6 ECTS
Master’s Thesis — 24 ECTS, compulsory
The Master’s thesis enables students to investigate a chosen challenge using contemporary theory and research methods. Students formulate a research problem, explain its relevance, select appropriate methods, analyse data and present their findings. Theses are examined by a defence committee that includes academic staff from the three partner universities.