Data Science of Human Multimodal Communication (MA)

The Master’s programme in Data Science of Human Multimodal Communication at Friedrich-Alexander-Universität Erlangen-Nürnberg offers a unique interdisciplinary approach that combines linguistics, computer science, and data analysis. Throughout the four-semester curriculum, students engage in in-depth exploration of human communication across various modalities, including speech, gestures, and facial expressions. The programme is designed to equip students with both theoretical knowledge and practical skills necessary to analyze and interpret complex data sets related to human interactions.

The structure of the programme follows the German higher education system, comprising four semesters, where students earn ECTS credits through various modules. This includes the completion of a master’s thesis in the final semester, allowing students to specialize in a topic of interest while contributing original research to the field. As part of their academic journey, students may also undertake a practical or internship semester to gain hands-on experience, further bridging the gap between theoretical understanding and real-world application.

Students in this programme will develop a robust skill set that includes data analysis, programming, machine learning, and advanced communication techniques. These skills are increasingly vital in a data-driven world, making graduates highly sought after in various industries. The programme suits individuals who have a passion for linguistics and technology, as well as those who wish to explore the interplay between human communication and machine learning.

Studying in Germany provides several advantages, including access to a strong network of industry partners, particularly within the digital transformation sector. Graduates benefit from an 18-month post-study job-seeking permit in Germany, allowing them to stay in the country and seek employment opportunities within its vibrant economy, characterized by its Mittelstand - a backbone of SMEs that are keen on employing skilled professionals in innovative areas.

• Data Scientist
• Computational Linguist
• Machine Learning Engineer
• User Experience Researcher
• Data Analyst
• AI Specialist

Industries that employ graduates include technology, telecommunications, automotive, healthcare, and academia