Data and Knowledge Engineering
STUDY PROGRAMME
Data and Knowledge Engineering
Degree Conferred
Master of Science (M.Sc.)
Duration
4 Semesters
Enrollment
Winter and summer semester
Admission restriction
No restricted admission
Entry requirements
The 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. The grade must be strictly better than 2,3 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 labs.
The Master DKE can be studied in English. Thus candidates must prove knowledge of English on level C1.
OVGU Framework of reference
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.
Students must also demonstrate that they have earned at least 10 points in additional prerequisites, in accordance with the “Studiengangsspezifischen Studien- und Prüfungsordnung (sSPO) für den Masterstudiengang Data and Knowledge Engineering der Fakultät für Informatik an der Otto-von-Guericke-Universität Magdeburg.”
The following checklist summarizes the admission requirements: Application Checklist
Detailed information about the Master DKE can be found here. General application instructions here.
Application deadline
Applicants with German Bachelor degree
an der OVGU
Winter Semester: 15 July
Applicants with German Bachelor degree
an der OVGU
Summer Semester: 15 January
Applicants with International Bachelor degree
über uni-assist
Winter Semester: 15 May
Applicants with International Bachelor degree
über uni-assist
Summer Semester: 26 November
Language
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