Immersive Analytics

Discipline: Computer science
Faculty: Department of Computer and Information Science

In this course we will study, present and discuss articles concerning current methods and tools in the area of Immersive Analytics (IA). IA is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices. Active participation in the discussions, exercises and hands-on project, oral (20 min) or written (60 min) exam at the end of the course


– Oct 27, 2021 – Feb 2, 2022 


Mon 13:30 PM – 15:00 PM

Wed 11:45 AM – 13:15 PM

Format: Online course / Directed Studies

Language: English

Student Level: 2nd/3rd Year BA + MA

Number of Places: 6

Number of ECTS: 3

Prerequisites and registration procedures (i.e. language, fee, registration dates)

– Solid programming skills are required to be able to successfully participate in the exercises. Experience with immersive technologies might be helpful, but is not required.

Additional Information:

Duration, Application Deadline and How to apply


Application deadline: 11/10/2021

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You can apply by sending e-mail to