Program
State-of-the-art lab and corpus methods, comprehensive theory, tailor-made statistics and computing, professional skills.
An advanced program uniting corpus-based research, theoretical linguistics, and specialized methods in statistics and computing.
- 2 Years / On-site
- Spain, Sweden, Germany
Overview
The MULTICOM master’s program spans 2 years (4 terms) and comprises 120 ECTS credits. It includes one compulsory professional project in Term 3, with the option of a second professional placement at a suitable partner institution in Term 4. A professional fair is held at the end of Term 2, and a student-organized conference takes place in Term 4. Students complete 30 ECTS credits per term.
The MULTICOM Experience
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, explore 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 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
MULTICOM Program Guide
Download the MULTICOM 2026 Program Guide and discover how our advanced program can accelerate your career.
Courses
Term 1 - University of Murcia
| Core Modules (21 ECTS) | Credits | Type |
|---|---|---|
| Human Multimodal Communication | 6 | Compulsory |
Methods in Multimodal Data Science | 6 | Compulsory |
Professional Impact I | 3 | Compulsory |
Statistics and Computing | 6 | One required |
Advanced Statistics and Computing | 6 | One required |
Language and Cognition | 6 | One required |
Elective Courses (9 ECTS) | Credits | Type |
|---|---|---|
Language and Cognition | 6 | Optional |
Studying the Multimodal Flow of Language | 6 | Optional |
Management and Business | 6 | Optional |
Trends in Multimodal Data Science I | 3 | Optional |
Trends in Multimodal Data Science III | 3 | Optional |
Free-choice Course at the University of Murcia | 6 | Optional |
Term 2 - University of Lund
| Core Modules (20 ECTS) | Credits | Type |
|---|---|---|
Lab Methods in Multimodal Data Science | 7.5 | Compulsory |
Language and Multimodality | 5 | Compulsory |
Ethics, Data Management, Intellectual Property | 2.5 | Compulsory |
Introduction to Programming in Python | 5 | One required |
Advanced Statistics and Computing
| 5 | One required |
Elective Courses (10 ECTS) | Credits | Type |
|---|---|---|
Trends in Multimodal Data Science II | 5 | Optional |
Artificial Cognitive Systems and Multimodality | 5 | Optional |
Lab Project in Multimodality | 5 | Optional |
Term 3 - FAU Erlangen-Nürnberg
| Core Modules (22.5 ECTS) | Credits | Type |
|---|---|---|
Professional Project (Associated Partner) | 5 | Compulsory |
Applications of Machine Learning | 10 | Compulsory |
Multimodal Corpus Linguistics | 5 | Compulsory |
Professional Impact II | 2.5 | Compulsory |
Elective Courses (7.5 ECTS) | Credits | Type |
|---|---|---|
Management and Business | 5 | Optional |
Trends in Multimodal Data Science I | 2.5 | Optional |
Trends in Multimodal Data Science III | 2.5 | Optional |
Work Project in Multimodal Data Science | 2.5 | Optional |
Multimodal Computer Science | 5 | Optional |
Term 4 - Location of Choice
| Core Modules (30 ECTS) | Credits | Type |
|---|---|---|
MA Research Thesis | 30 | Compulsory |
How to Apply?
- You Apply
Submit your online application and upload the required documents, including your degree certificate, transcript, proof of English proficiency, CV, and a short motivation video.
- We Review
After submission, the MULTICOM selection committee will evaluate applications based on academic merit, interdisciplinary potential, and international diversity, following the official admission criteria.
- You Prepare
If admitted, you will receive further guidance on enrolment, scholarships, and the next steps to join the Erasmus Mundus Master in the Data Science of Human Multimodal Communication.