Course with a strong applied focus
The Master's programme offers academically sound technical and management training with a strong emphasis on the applied fields, whereby students learn to adapt cutting-edge data technologies to situations that are directly relevant to practitioners. While doing so they maintain a full overview of all steps in data processing – from developing a concept for data use, to acquiring the data, all the way to applying the extracted knowledge. The Master's programme focuses on innovative forms of data use rather than on the statistical, IT-based principles of modern data technologies and analytical methods.
Flexible planning of coursework (flexible model)
The Master's programme offers students the possibility to earn a Master's degree over a flexible period. The course generally takes four semesters to complete; however, it can be extended all the way to eight semesters. The programme combines various forms of learning (e-learning, guided self-study and self-directed learning) that allow for more flexible planning of the coursework. Students can begin their studies in the autumn or spring semester.
The Master's programme is based on a multidisciplinary curriculum that combines knowledge from fields such as social sciences, computer science, design, statistics, management, law and others.
In principle, the Master's programme is open to all students with a Bachelor's degree from a university or a university of applied sciences who have a keen interest in data technology and strong abilities when it comes to tackling analytical problems. The programme requires all students to be willing to fill any gaps in their basic knowledge of statistics and computer science during the assessment semester (first semester).
Internationally tailored programme
The Master’s degree in Applied Information and Data Science was developed in accordance with the EDISON European curriculum development programme, which marks the first time that occupational profiles, competence profiles, learning objectives and curricula for training data scientists have been developed.