TERM 1. Introduction to multimodal data science.

September-December. University of Murcia, Spain

• Welcome week, inauguration, social program
• Thorough overview of multimodal data science
• Intensive training in basic or intermediate quantitative skills
• Basic professional skills
• Opportunities to pursue key topics in the field, participate in hands-on research, fill in any gaps on language and cognition, or develop further professional and entrepreneurial skills.

TERM 2. The multimodality lab: cognition and learning.

January-June.  Lund University, Sweden

• Welcome week, social program
• Specialized training in laboratory-based methods and on theoretical background for research on multimodality in language, cognition, and learning
• Intermediate or advanced training in quantitative skills
• Data management, property rights, and ethics
• Opportunity to gain further expertise in hands-on experimental research projects, to delve into the connections between multimodality and natural and artificial intelligence, or pursue a key topic in the field
• Professional fair

TERM 3. Machine learning and multimodal corpora.

September-January. FAU, Erlangen Campus, Germany

• Professional project (internship) of at least 6 weeks between June and October
• Specialized training in multimodal corpus linguistics, multimodal language models, and the creation, curation, analysis, and management of large-scale audiovisual data sets
• Advanced professional skills
• Opportunities to further master key technologies: machine-learning techniques, computer vision, speech analysis, and natural language understanding, or to pursue key topics in the field
• Conference at the end of term, co-organized by students and faculty

TERM 4. Research and professional development.

January-August. Location(s) of choice

• Work on the MA thesis at one or two organizations, beneficiaries or associated partners, chosen by the student and the main supervisor, who must be from one of the three universities. Stays at non-academic partners, as well as professional training related to the thesis research, will be encouraged
• Further professional training for both academic and industry careers
• Thesis defense (virtual)
• Graduation ceremony