
Data & Knowledge Enginееring

(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- no admission restriction
- Application:
- directly at university
- Study Mode:
- On campus
Course Description
The Master of Science in Data and Knowledge Engineering at Otto von Guericke University Magdeburg is a programme that focuses on the design and implementation of intelligent systems for data analysis and knowledge extraction. The programme, which is taught in English, spans four semesters and provides students with advanced training in data mining, machine learning and information retrieval. The curriculum places equal emphasis on theoretical foundations and practical applications, thereby enabling students to engage in projects that address real-world challenges in data engineering. Those who graduate from this programme are well-prepared for careers in a number of industries, including IT, finance, healthcare and research. They are able to apply their expertise in order to develop innovative solutions for data-driven decision-making. The programme is well suited to students with a background in computer science, mathematics, or related disciplines who are seeking to expand their knowledge in the fields of data science and engineering.
Requirements
Qualification Requirements
Bachelor's degree (or equivalent) in computer science or a closely related field.
Minimum standard period of study: 3 years (6 semesters).
Required ECTS credits: 180.
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 рraktika.
Language Requirements
The following certificates are recognized as proof of your language proficiency.
Application & Admission
Application Deadlines
Other EU Students 
| Intake | Winter Semester |
| Application deadline | 15 Julyin 41 days |
| Application mode | Directly at university |
Application Procedure & Selection
Location


