MSc in Data & Knowledge Engineering (MDKE)
Otto-von-Guericke Universitaet Magdeburg · Magdeburg, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Magdeburg
- Apply by
- Register by 15 May 2027 + 1 more
- Starts
- Winter and summer semester
Otto-von-Guericke Universitaet Magdeburg does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 a year for international students.
Entry requirements and how to apply
- Entry requirements
- General admission requirements and information regarding the application procedure for international students can be found at: www.ovgu.de/unimagdeburg/en/Study/Full_Time+Studies.html Degree-specific admission requirements and deadlines can be found at: http://www.ovgu.de/en/Study/Study+Programmes/Master/Data+and+Knowledge+Engineering.html Further information can be found on the course website: www.inf.ovgu.de/m-dke
- English language requirement
- C1 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® III telc English: telc English C1 PTE Academic: 76 IELTS Academic: 7
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the winter semester: 15 April - 15 May The following is valid for applicants from: all countries For the summer semester: 15 October - 15 November
- Apply through
- Please apply via uni-assist .
About this programme
The MDKE Data Science Master's programme delivers in-depth knowledge and competences in data science, one of the most promising career areas for ambitious Bachelor's graduates. Its subject areas are "engineering" for data and for knowledge, aiming to turn passive data into exploitable knowledge. It focuses on the representation, management, and understanding of data and knowledge assets. It encompasses technologies for the design and development of advanced databases, knowledge bases and expert systems, methods for the extraction of models and patterns from conventional data, texts and multimedia, and modelling instruments for the representation and updating of extracted knowledge. The application areas for MDKE are ranging from business intelligence and industry to life sciences, biotechnology, and security. The management and analysis of data is essential; the maintenance and understanding of knowledge assets are of major importance in business venues, governmental authorities, and non-profit organisations.
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