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Data Engineering

Data Engineering

Data Engineering

The Data Engineering master's programme covers a range of topics in the field. Today’s software systems manage large amounts of traditional and non-traditional data including temporal, spatial, spatio-temporal, and multidimensional data.

The programme focuses on technologies for managing this kind of data covering conceptual modelling and database design, data models, query languages, query processing and optimisation, and indexing. The programme features traditional courses as well as projects that typically involve construction and experimentation with software prototypes.

Entrepreneurial values

While the programme provides strong theoretical foundations, it also emphasises entrepreneurial values, enabling students to become highly valued staff at their future employer, both in industry and academia.

Center for Data-Intensive Systems

The programme is managed by the Center for Data-Intensive Systems, Daisy at the Department of Computer Science. Daisy is one of the world’s leading research groups within spatial, temporal and spatio-temporal data management and business intelligence (data warehousing and data mining). Student projects are usually directly related to the current cutting-edge research conducted at Daisy. In addition, projects are done in collaboration with local and national industry.

Financial support for good students 

To cover living expenses, Daisy offers student programmer jobs to the best international students at Data Engineering.

Facts About the Programme

Language

English

City

Admission Requirements

See the Curriculum

Study Method at AAU - Problem Based Learning

Study Method at AAU - Problem Based Learning

The study method at AAU is called Problem Based Learning (PBL). Together with your fellow students you will work with real life problems by way of problem based project work.
 

learn more about Pbl at aau