collageSTUDY PROGRAMME
Data and Knowledge Engineering
DEGREE CONFERREDMaster of Science (M.Sc.)DURATION4 SemestersENROLLMENTWinter and summer semesterADMISSION RESTRICTIONNo restricted admissionENTRY REQUIREMENTSThe target group of the Master Data and Knowledge Engineering are better-than-average graduates with a Bachelor degree in Computer Science or a closely related field with a minimum grade point average of 2,30 on the German scale. The duration of the Bachelor degree must be at least 3 years (six semesters), the degree must contain one course on Databases and either 10 courses (60 ECTS) in CS or 6 courses (40 ECTS) in CS and 4 courses (20 ECTS) in applied statistics. These courses may not be exercises or praktika.
The Master DKE can be studied in German or English. Thus foreign students must prove knowledge of German or English on level C1 according to the Common European Framework (e.g. DSH, TestDaF or TOEFL, IELTS, CAE.) Detailed information about the Master DKE can be found here. application instructions here.
Candidates fulfilling these requirements are further subject to a process of eligibility assessment, conducted according to the regulations. Applicants have to fill out and submit the following form and the required documents.APPLICATION DEADLINE Applicants with German Bachelor degree an der OVGUWinter Semester: 15 July Applicants with German Bachelor degree an der OVGUSummer Semester: 15 January Applicants with International Bachelor degree über uni-assistWinter Semester: 07 June Applicants with International Bachelor degree über uni-assistSummer Semester: November 15LANGUAGEGerman/English
Objectives
In the Master Data and Knowledge Engineering students acquire solid knowledge on the theoretical aspects and application areas of knowledge discovery, machine learning, data mining and warehousing, of the supporting database technologies, the languages and models for the representation of data, information and knowledge.The Master DKE offers interdisciplinary courses, practical exercises and project works, in which students become familiar with the challenges of applications in business, natural sciences, biotechnology, security, manufacturing and engineering. They obtain the expertise and skills necessary for the design and realization of innovative solutions – working in one-person projects and in teams.
Career Perspectives
- Knowledge engineers in large institutions like banks, automobile industry and medical centers
- Project leaders for interdisciplinary projects of large and medium enterprises
- Consultants in such
- PhD studies for an academic career
Competencies and Interests Required
see Entry Requirements
Data and Knowledge Engineering
The Master DKE delivers in-depth knowledge and competences in Data Science, one of the most promising career areas for ambitious computer scientists. Its subject area is “Engineering” for Data and for Knowledge, aiming to turn passive data into exploitable knowledge:
It focusses 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, modelling instruments for the representation and updating of extracted knowledge. The Master DKE can be studied on German or English and is thus open to students mastering either of the two languages.
DKE spans application areas ranging from business intelligence and market watches to life sciences, biotechnology and security. It builds upon advances in networked services, people and agent communication, in decision support, information systems and management. The management and analysis of data, the maintenance and understanding of knowledge assets are of major importance in business venues, in governmental authorities and in non-profit organisations. In the Master DKE, we prepare our students for a career as:
- Knowledge engineers in large institutions like banks, medical centres, joint ventures and holdings but also in small and medium size enterprises – Project managers for interdisciplinary projects that demand data-intensive solutions
- IT-consultants, specialized in the design and development of knowledge-intensive scenaria; application areas include e-business, biotechnology and customer relationship management
- Researchers on information systems, intelligent systems and their many application areas
- The Master DKE also provides the foundations for further studies towards a PhD degree.
Click here for more information.
At a glance
| Degree | Master of Science (M.Sc.) |
| Standard period of study | 4 Semester |
| Start of studying | winter term or summer term |
| Conditions of admission | The admission criteria can be found under: http://www.uni-magdeburg.de/en/Study/Study+Programmes/Master/Data+and+Knowledge+Engineering.html Under https://www.ovgu.de/unimagdeburg/en/International/Incoming+_+Ways+to+the+University/International+Students/Full_Time+Studies/Prerequisites-p-107050.html you find the different certificates accepted by our University and how CEFR C1 maps to each one. Beware that this webpage contains also the mapping for B2; for the data science Master DKE, make sure that you check under C1. Exceptions from the English evaluation are listed at the end of that webpage.Application (international Bachelor degree) for Sumerterm 2022 is open from October 15th to November 15th |
| More information abut applications | Applications must be submitted via uni-assist, see instructions under Applying via uni-assist e.V.Primary contacts at University level (responsible for all University degrees): Your primary contactsInformation for OVGU students changing their study course can be found hereThe admission prerequisites and criteria are not negotiable. |
| Important Documents | Current versions of regulations documents and courtesy translations can be found here.Detailed information on courses can be found in the module catalog and module lists. |
Under https://www.ovgu.de/unimagdeburg/en/International/Incoming+_+Ways+to+the+University/International+Students/Full_Time+Studies/Prerequisites-p-107050.html you find the different certificates accepted by our University and how CEFR C1 maps to each one. Beware that this webpage contains also the mapping for B2; for th data science Master DKE, make sure that you check under C1. Exceptions from the English evaluation are listed at the end of that webpage.
collage