This Erasmus Mundus Joint Master's programme trains students in advanced materials science with a strong emphasis on applying artificial intelligence to sustainability challenges. The curriculum builds solid fundamentals in the physics and chemistry of functional materials while equipping students to harness AI methods for designing and producing more sustainable materials and processes. The programme targets excellent candidates from around the world who want to work at the intersection of materials engineering, data-driven methods and sustainability.
Delivered entirely in English over 120 ECTS, the course leads to double Master’s degrees in Materials Science, with the option of obtaining joint degrees depending on the consortium pathway chosen. Teaching combines physics and chemistry of materials with AI and sustainability topics, and uses active, practice-oriented learning: lab work, virtual exchanges, blended mobility and hands-on projects. A network of seven European partner universities—Aveiro (Portugal), Bordeaux and Grenoble Institute of Technology (France), Augsburg and Darmstadt (Germany), Liège and Louvain-la-Neuve (Belgium)—share delivery and supervision.
Strong collaboration with industry, research and technology organisations and alumni provides mentorship, e‑seminars, plant visits, internships and thesis opportunities. Graduates are prepared for roles in industry, research (including PhD programmes), or for launching technology-driven start-ups focused on functional advanced materials and sustainability solutions.
The MSc curriculum begins with two semesters of core material science teaching that build a broad foundation in the discipline. These early terms cover fundamental theory, experimental techniques and computational approaches so you gain the scientific and practical skills needed to analyse, characterise and develop advanced materials — with an emphasis on sustainability and the use of data-driven methods where relevant.
In the third semester you move to a focused specialisation hosted by one of the programme’s partner universities. That semester combines mandatory courses with electives offered by the host institution, allowing you to deepen expertise in a specific sub‑field under the guidance of world‑leading researchers. The final semester is devoted to an independent Master’s thesis, carried out in one of the FAME‑AIS consortium laboratories or at an external research or industrial partner, providing hands‑on research experience and direct exposure to applied development or innovation settings.
Key modules (examples of study areas included)
Typical learning outcomes
Program structure at a glance
A detailed curriculum and module catalogue are available in the programme PDF for prospective students.
Selection for this program is highly competitive and aimed at applicants with a strong background in related scientific or engineering disciplines. Applicants should hold a Bachelor of Science degree in one of the specified fields (or a closely comparable university-level qualification) and be able to demonstrate strong academic performance and clear potential for professional growth.
Admissions decisions are made by reviewing academic records and letters of recommendation from people who know your academic or professional abilities (for example, professors or supervisors). You will also be expected to present a concise explanation of your career goals and why you want to pursue graduate study in Europe — this helps the committee assess fit and motivation.
To strengthen your application, prepare clear documentation of your prior studies and achievements, ask referees who can speak directly to your skills and promise, and craft a focused statement of purpose that outlines your intended career path and reasons for choosing this program and studying in Europe.
Requirements (summary)
Winter Semester (International)
15 January 2027
Winter Semester (EU/EEA)
15 April 2026
Graduates are prepared for roles in industry and research that combine materials science with artificial intelligence and sustainability. Typical career paths include R&D and engineering positions in companies developing functionalised advanced materials, roles in sustainability-driven product development, and positions involving data-driven materials design and manufacturing.
Many graduates will also be competitive candidates for PhD programmes in materials science, AI for materials, or related fields; others may join research and technology organisations (RTOs) or launch technology startups addressing sustainability challenges in materials and manufacturing.