International Masters and Research Path

Master Program

The Master MINDS program is a forward-thinking, multi-faceted educational pathway that integrates international mobility, a comprehensive AI curriculum and a focus on societal impact, preparing graduates to become AI leaders with a global perspective.

This two-year international master's program spans four countries: France, Germany, Italy and Spain, offering a unique blend of expertise in artificial intelligence. One of the special features of this program is its mobility requirement, with students required to study in two different countries (during the second and third semesters), enabling them to increase their international exposure and intercultural skills.

The curriculum is designed to immerse students in four key AI themes: computer vision, distributed systems, cybersecurity and intelligent systems.

The first semester enables students to familiarize themselves with all the specialties, then focus on two specialties in the second semester. In the second year, students specialize in one major area while pursuing a secondary specialization. This structured approach guarantees a comprehensive and in-depth understanding of the various aspects of AI.

This master's program is distinguished by its interactive, hands-on learning experiences. At the end of the first semester, students engage in group challenges, fostering teamwork and practical application of their learning. The second semester concludes with a summer school, offering an immersive educational experience. In addition, a major project during the second semester addresses broader societal issues related to digital society and sustainable development, going beyond the mere technical aspects of AI innovation.

The final Master's thesis can be carried out at the university of the third semester or at any other location, provided that there is a collaborative agreement between the countries for supervision. This flexibility enables students to tailor their research and practical experience to their interests and career goals.


Master MINDS Possible Paths and Diplomas

Master MINDS program offer students the opportunity to acquire multi diplomas (3 diplomas) depending on their Master MINDS Mobility Path.


Master MINDS: from S1 to S4

The Common Core in M1 – Semester 1

The first semester of M1 (30 ECTS) comprises a common core divided into four introductory parts of specialized tracks, each offering 6 credits and providing students with a comprehensive overview of Minds' four specialties. Additionally, 20% of the common core curriculum is allocated to humanities, entrepreneurship, and exploring the digital society, delving into fundamental aspects of our new society such as ethics, deontology, sustainability, and the frugality of artificial intelligence.

During this semester, students are equipped to make informed decisions about the two topics they will continue with in their second semester, during their first mobility period. Of these topics, one is designated as a major (requiring at least 12 ECTS credits) and the other as a minor (requiring at least 6 ECTS credits). Selecting two primary topics is compulsory for the second semester (S2).


The Common Core in M1 – Semester 2

The second semester is distinguished by three key aspects: the first mandatory mobility phase at one of the European partner universities of the program (Passau, Milano, or Barcelona). Each partner provides a set of mandatory courses (covering two specializations of the master's degree) and elective courses (covering 1 to 3 specializations). Therefore, a student progressing into M1 must select one course as a major (comprising at least 12 ECTS credits) and one as a minor (comprising at least 6 ECTS credits), accounting for 70% of the semester's ECTS. The remaining courses, comprising 10% of the ECTS, can be optionally selected from various computer science topics, such as applied modelling and simulation, biomedical signal processing, Blockchain, algorithms for massive datasets, GPU computing, real-time graphics programming, and natural language processing. This part excludes the modules related to the digital society, which also constitute 20% of the ECTS and are mandatory. These include a semester-long challenge and a summer school at the semester’s end.


The Specialization in M2 – Semester 3

Following the selection of a major or minor in M1, students embark on their final mandatory mobility phase by enrolling at another university known for leading in the chosen specialty. This commitment forms part of the master's specialty segment, ranging from a minimum of 12 to a maximum of 24 ECTS, followed by the concluding 30 ECTS credits of the Master's Thesis in the subsequent semester. In this semester, students undertake compulsory training in digital society through a semester-long project, addressing societal issues proposed by partner companies and alliances.


The Master Thesis in M2 – Semester 4

The final semester is devoted to the Master's Thesis, enabling each student to thoroughly explore their chosen specialty. Typically, the internship is overseen by at least two supervisors – either from academia or a blend of academia and industry professionals. The master's co-supervision by specialty researchers fosters exemplary team cohesion, which is a key strength for student supervision. Upon completing the Master's Thesis, students are awarded a diploma from each university where they have spent a minimum of six months. The diploma supplement details the results of their entire academic journey, including their selected major/minor courses and specialization.


Strenghs of the curriculum

  • The four specializations are proposed by teachers for whom this is the research theme. They deal with hot topic researchs in the domain of AI
  • The program offers innovative educational approaches to teach topics for digital humanities through innovative pedagogical ways: inter-university challenges, specialist seminars including companies, a summer school, and long-term projects investigating a scientific theme through the prism of its impacts and challenges for society.
  • The program integrates inseparable worlds such as businesses & compagnies, academia, and institutions like alliances that contribute to the development of European programs.

Main professional opportunities

Students of curriculum are ideally placed to work in positions requiring an understanding of modern AI formalism and technologies (such as Machine Learning, Deep Learning, Semantic Technologies like Natural Language Processing), but also Security system, Big data analytics and distributed software engineering. This includes the obvious positions in the digital industry, but also positions in scientific research.