MSc in Data & Knowledge Engineering (MDKE)
Transform passive data into exploitable knowledge with a comprehensive Master of Science in Data Science.
Best for:Best for ambitious Bachelor's graduates with a strong technical background seeking advanced expertise in data science and knowledge engineering.
Overview
The Master of Science in Data & Knowledge Engineering at Otto von Guericke University Magdeburg is a full-time, four-semester graduate programme designed to provide rigorous training in data science. Students explore the representation, management, and understanding of complex data and knowledge assets, spanning advanced databases, knowledge bases, and expert systems. The curriculum features four thematic areas: fundamentals, learning methods and models, data processing, and applied data science across business, medicine, and engineering. Candidates are expected to complete coursework, participate in team projects, and write a Master's thesis in the final semester.
What you'll do
- Complete coursework across four thematic areas covering data science fundamentals and learning methods
- Participate in at least one collaborative team project focusing on applied data science in business, industry, or healthcare
- Engage with data processing and modeling technologies for extracting patterns from text, multimedia, and conventional datasets
- Conduct independent research and author a Master's thesis during the final semester
Requirements
Degree required: Bachelor's degree in Computer Science or a closely related field
Degree offered: Master of Science
Language: English; C1 level required (e.g., UNIcert III, telc English C1, PTE Academic 76, or IELTS Academic 7)
Instruction: English
- Foundational knowledge in computer science or related quantitative disciplines
- Strong analytical and problem-solving capabilities for data-driven challenges
- Proficiency in English meeting advanced academic standards
- Open to international and domestic applicants holding a qualifying Bachelor's degree
Funding & terms
Programme and admissions
Admissions not verified
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- Intake
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- Duration
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- Taught / research mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: 15 May for winter semester / 15 November for summer semester
Prepare all required admission documents and submit your application through the uni-assist portal within the designated application windows.
- CV
- BSc degree certificate and transcripts
- English language proficiency certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.