The EMAI is a two-year Masters programme offered by four higher education institutions. Students will visit three different countries during the first year and will then have the opportunity to choose where they wish to do their Master’s thesis during the second year.

EMAI students may choose among all consortium member universities and specialise in one of the four offered strands (Intelligent Decision Making in Spain, Robotics in Italy, Cybersecurity in the Netherlands, and Data Science in Slovenia).

The specialisation involves the development of a Master Thesis Project, working closely in one of the academic research groups or in an industrial environment.

The following figure describes the possible mobility schemes according to the diverse expertise and excellence of the consortium members.

 

1st Semester

Pompeu Fabra University

  Schedule 

 

2nd Semester

Sapienza University

Radboud University

University of Ljubljana

Summer School

University College London (UCL) Centre for Artificial Intelligence

3rd and 4th Semesters (Specialisation)

Intelligent Decision Making

Pompeu Fabra University

Robotics

Sapienza University

Cyber Security

Radboud University

Data Science

University of Ljubljana

 

The Learning outcomes of the EMAI are aligned with level 7 of the Framework for Qualifications in the European Higher Education Area: 

  1. In terms of knowledge:
    • LO-1 Understand the different paradigms of artificial intelligence, their computational and mathematical frameworks, and the interface between them.
    • LO-2 Identify advanced uses of artificial intelligence models and algorithms to be applied in a real-world problem.
    • LO-3 Develop specialised knowledge of topics in the field of artificial intelligence in written, oral, and visual form to address scientific challenges.
  2. In terms of skills:
    • Intellectual skills:
    • LO-4 Recognize the responsible development and use of AI when applied to society or innovation.
    • LO-5 Compose original research questions to develop new knowledge and methods in the field of AI.
    • Transferable skills:
    • LO-6 Communicate effectively in English, both orally and in writing, in academic and professional contexts.
    • LO-7 Present materials coherently and concisely in written form, with clear use of language, professional referencing and use of tables, diagrams, and graphics where appropriate.
  3. In terms of competences:
    • LO-8 Evaluate using scientific methods the reliability and validity of artificial intelligence systems to deal with a project that involves massive data.
    • LO-9 Critically evaluate different approaches to develop artificial intelligence systems within a broader context.
    • LO-10 Apply the models and algorithms of the field of artificial intelligence, including data-driven machine learning, as well as symbolic reasoning methods to a well-defined problem.
    • LO-11 Plan and execute a significant research project using a range of materials and relevant methodological approaches.
    • LO-12 Manage time effectively to meet deadlines.
    • LO-13 Program advanced artificial agents that interact with its environments, humans, and other agents in an intelligent way, in a range of industry-relevant programming languages.
    • LO-14 Manage and transform work or study contexts that are complex, unpredictable and require new strategic approaches.
    • LO-15 Take responsibility for contributing to professional knowledge and practice and/or for reviewing the strategic performance of teams.
       

Cohort 2023-2025

Academic Year 2023-2024

First Semester (2023)

  • Welcome Event             13th and 14th of September 
  • Classes start                 18th of September 
  • Classes finish                8th of December
  • Exams period                18th-20th of December

Second Semester (2024)

  • Sapienza University of Rome        26th February - 31st May
  • Radboud University                     29th January - 12th July
  • University of Ljubljana                 19th February - 31st May

        Important: Please confirm these dates as well as the exam dates with your Local Coordinator.

Summer School                                    21st - 24th July 2024

 

Academic Year 2024-2025

Third Semester   (2024)            TBC

Spring Event       (2025)            TBC

Fourth Semester (2025)           TBC

 

According to the EMAI Consortium Partnership Agreement, EMAI students are bound by the Rules and Regulations of the partner institution in which they are registered and spend their semester of studies.