Web and Data Science (MSc)
An interdisciplinary Master's programme focused on the analysis, design, and development of web and data-intensive systems.
Best for:Best for students with a background in computer science seeking an interdisciplinary approach to data and web systems.
Overview
The Master of Science in Web and Data Science at the University of Koblenz provides specialized training in analyzing data and engineering complex web-based systems. The curriculum explores the intersection of technology, economics, and social interactions, preparing students for both professional roles in the ICT industry and future doctoral research. Students benefit from a flexible, self-determined course structure that integrates computer science with insights from social sciences, law, and economics. The programme emphasizes practical skills, including data visualization, web strategy development, and team-based problem solving.
What you'll do
- Engage in independent academic research within the fields of web and data science.
- Design and develop complex, data-intensive web systems.
- Analyze web data, including content, usage patterns, and link structures.
- Formulate and solve complex problems in interdisciplinary teams.
- Develop data-driven strategies for corporate or public sector applications.
- Participate in seminars and research labs to deepen technical and social competencies.
Requirements
Degree required: Bachelor's degree in computer science, computational visualistics, or a comparable field.
Degree offered: Master of Science
Language: English; B2 level required.
Instruction: English
- Foundational knowledge in practical, technical, and theoretical computer science.
- Proficiency in mathematics.
- Minimum academic grade equivalent to 2.5 or better in the German grading system.
- English language proficiency at B2 level (e.g., TOEFL iBT 72 or IELTS 5.5).
- Applicants must hold a relevant Bachelor's degree.
- Must meet the minimum grade requirement of 2.5 (German system).
Funding & terms
Programme and admissions
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- Intake
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- Taught / research mode
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2025-07-15
Applications must be submitted via the uni-assist portal. Ensure all required academic certificates and language proficiency documents are prepared according to the university's guidelines.
- Bachelor's degree certificate
- Academic transcripts
- Official language proficiency certificate
Contact
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