Data and Knowledge Engineering
The Master of Science in Data and Knowledge Engineering at Otto-von-Guericke University Magdeburg is an international graduate program designed for students aiming to specialize in data science, artificial intelligence, and intelligent knowledge-based systems. The program can be completed in 4 semesters and is offered in both summer and winter semesters, providing flexibility for full-time students as well as working professionals. With a strong emphasis on data analytics, machine learning, and intelligent information processing, the course equips students with the skills required to address real-world data challenges across industries.
Located in Magdeburg, a growing center for technology and research in Germany, the program combines academic rigor with practical relevance. Students benefit from hands-on research projects, modern laboratories, and strong links to industry and research institutions. With its interdisciplinary approach, international environment, and comprehensive training in cutting-edge computational methods, this program is an ideal choice for those pursuing careers as data scientists, AI engineers, machine-learning specialists, and knowledge-engineering experts in global technology-driven fields.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Magdeburg
- Study Type: Graduate (full-time / part-time, international)
- Admission semester: Summer & Winter Semester
- Area of study: Computer Science
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Data Engineering
- Advanced Databases & Information Systems
- Machine Learning Fundamentals
- Data Warehousing & Business Intelligence
- Mathematical Foundations for Data Science
Semester 2 – Advanced Knowledge Technologies
- Knowledge Discovery & Data Mining
- Advanced Machine Learning
- Natural Language Processing / Text Mining
- Elective Module (e.g., Deep Learning, Big Data Systems)
Semester 3 – Specialization & Research
- Knowledge Representation & Semantic Technologies
- Data Ethics & Responsible AI
- Research or Industry Project
- Electives (e.g., Recommender Systems, Graph Mining)
Semester 4 – Master’s Thesis
- Independent Research Thesis
- Scientific Presentation & Defense
- Portfolio Preparation & Academic Publication Support
Career Opportunities
Graduates of this program pursue careers in AI engineering, data science, business analytics, machine learning engineering, information management, and software development. With strong research orientation, the program also opens pathways to PhD studies and academic careers. Students benefit from strong industry partnerships, innovation ecosystems, and real-world project experience, preparing them for global job markets in high-tech and data-driven industries.
Why Choose This Program
This program offers a powerful combination of theoretical foundations and hands-on experience in data intelligence and knowledge engineering. With internationally recognized faculty, advanced research infrastructure, and flexible study formats, students gain deep expertise in modern data science, AI techniques, and intelligent information systems.
Magdeburg provides a supportive learning environment, cutting-edge research clusters, and strong industry collaboration, ensuring graduates are competitive in emerging tech fields and global data-driven industries.
Contact Information
Otto-von-Guericke University – Student Advisory Service
Universitätsplatz 2
39106 Magdeburg, Germany
Tel: +49 391 67-57103
Email: studienberatung@ovgu.de
Faculty of Computer Science – Program Contact
Universitätsplatz 2
39106 Magdeburg, Germany
Tel: +49 391 67-58967
Email: myra@iti.cs.uni-magdeburg.de
International Office
Universitätsplatz 2
39106 Magdeburg, Germany
Tel: +49 391 67-18515
Email: akaa@ovgu.de
