Aarhus University

What you'll study

This programme combines methods from information visualisation, visual analytics, interaction design and data science. Core topics typically include visualisation theory and design, human perception and cognition for visualisation, interactive and web-based visualisation technologies (for example D3.js and WebGL), visual analytics for large and streaming data, statistical and computational data processing, and evaluation methods for visual interfaces. Teaching blends lectures, practical programming labs, design studios and project work.

Programme structure is usually a two-year (120 ECTS) master’s with a mix of mandatory courses, electives and a substantial independent master’s project or thesis. Typical modules and activities you can expect:

• Foundations of Information Visualisation: principles of visual encoding, visual variables and perceptual guidelines.
• Visual Analytics and Interaction: combining automated analysis with interactive visual interfaces for sense-making.
• Data Processing and Modelling: statistical methods, machine learning basics and data wrangling for visualisation.
• Interactive and Web Visualisation Technologies: practical courses in JavaScript, D3, WebGL and visualization frameworks.
• User-Centred Design and Evaluation: user studies, usability testing and qualitative methods for assessing visualisations.
• Electives and interdisciplinary seminars: topics such as network visualisation, geovisualisation, narrative visualisation, or domain-specific visual analytics (health, finance, environment).
• Master’s Project/Thesis: an independent research or design project, often done in collaboration with academic research groups or industry partners.

Entry requirements

Applicants are normally expected to hold a relevant bachelor’s degree in computer science, information science, statistics, engineering, design or another closely related discipline. Admissions assess academic preparation in areas such as programming, statistics/mathematics and basic human–computer interaction or design; applicants lacking specific prerequisites may be asked to take qualifying courses.

Typical application materials include an official transcript, a personal statement describing motivation and relevant experience, a CV, and references. Applicants with a design background are usually expected to submit a portfolio demonstrating visual and interaction design work. Proof of English proficiency is required for applicants whose previous degree was not taught in English.

Career prospects

Graduates from a data visualisation master’s programme pursue careers where communicating data-driven insight is essential. Common roles include data visualisation specialist, visual/UX designer for data products, visual analytics engineer, business intelligence (BI) developer, data journalist, and product manager for analytics tools. Some graduates move into applied research or pursue PhD studies in visual analytics, human–computer interaction or data science. Employers span tech companies, consultancies, news organisations, public sector institutions and research labs.

Why study at Aarhus University

Aarhus University offers a strong interdisciplinary environment that brings together computer science, design, social science and domain specialists, which is well suited to the mixed technical and human-centred nature of data visualisation. The university hosts research groups and labs active in visual analytics, interaction design and data science, enabling students to collaborate on cutting‑edge projects and apply methods to real-world datasets.

Studying in Aarhus gives access to an engaged academic community, opportunities for collaboration with local industry and public institutions, and modern facilities for prototyping and user testing. The region’s active tech and creative sectors also provide pathways to internships and project partnerships that help bridge academic learning with professional practice.