MSc in Data & Knowledge Engineering (MDKE)

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. The MDKE Data Science Master's programme is organised across four thematic areas. Students must acquire credit points (ECTS) in each area as follows: Fundamentals of Data Science Learning Methods and Models Data Processing for Data Science Applied Data Science: this fourth area includes applications of data science in business, industry, medicine and healthcare, engineering, and core computer science (such as security or software engineering) Each student must participate in at least one team project in Applied Data Science. After three semesters of study, students must write a Master's thesis (fourth semester). Further details regarding the degree statutes can be found on the website of the study regulations for the degree. The most recent document at the top of the website is the one that applies to new applicants: https://www.inf.ovgu.de/Studium  Study regulations