Master of Science in Information Engineering and Computer Science
A multidisciplinary master’s programme blending data science, AI, and systems engineering for modern information management challenges.
Best for:Best for computer science or engineering graduates seeking a hands-on, interdisciplinary master’s programme with specialisations in AI, data science, and systems engineering.
Overview
The Master of Science in Information Engineering and Computer Science at Rhine-Waal University of Applied Sciences offers a three-semester programme designed for graduates with a strong foundation in computer science, engineering, and mathematics. This interdisciplinary degree focuses on data acquisition, processing, and management, with specialised tracks in Software and Systems, Environmental Sciences, and Supply Chain. Students engage in theoretical coursework, practical projects, and applied research, culminating in a master’s thesis. The programme emphasises innovation, interdisciplinary collaboration, and real-world problem-solving, preparing graduates for careers in AI, data management, cloud computing, and systems engineering across international industries and research institutions.
What you'll do
- Develop theoretical and practical expertise in data acquisition, processing, and information management through lectures, seminars, and hands-on projects.
- Specialize in one of three tracks: Software and Systems, Environmental Sciences, or Supply Chain, aligning with your career goals.
- Participate in applied research projects that integrate theoretical knowledge with real-world problem-solving.
- Conduct independent research and write a master’s thesis in the third semester, addressing a relevant and innovative topic.
- Collaborate on interdisciplinary projects, fostering skills in teamwork and cross-functional problem-solving.
- Apply knowledge in areas such as data mining, system simulation, and artificial intelligence to practical challenges.
Requirements
Degree required: A completed undergraduate degree (BSc, BA, or equivalent) in computer science, computer engineering, or a related field with a strong foundation in mathematics, natural sciences, and engineering.
Degree offered: Master of Science (MSc)
Language: English proficiency at CEFR level B2 or higher, with official certification (e.g., TOEFL, IELTS, UNIcert, or equivalent).
Instruction: English
- Proven academic background in computer science, computer engineering, or related disciplines.
- Strong mathematical and scientific fundamentals.
- Experience or aptitude for data analysis, programming, or systems engineering.
- Ability to demonstrate proficiency in practical computer science applications.
- Minimum overall undergraduate grade equivalent to 2.3 (German grading system).
- Proof of a relevant TestAS certificate (minimum 100 points) or alternative test scores (GRE, GATE).
- No minimum German language requirement, but proficiency may be beneficial for part-time employment.
Funding & terms
Programme and admissions
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How to apply
Deadline: 15 July (Winter semester) or 15 January (Summer semester)
Applicants must submit their application through the uni-assist portal. Required documents include proof of undergraduate degree, academic transcripts, TestAS/GRE/GATE scores, English proficiency certificate, and a 1,000-word essay explaining supplementary knowledge or experience if applicable. Applications are reviewed based on academic merit and eligibility criteria.
- Proof of completed undergraduate degree (BSc, BA, or equivalent)
- Academic transcripts and degree certificate
- TestAS certificate (minimum 100 points) or alternative test scores (GRE, GATE)
- English proficiency certificate (CEFR B2 or equivalent)
- Essay (up to 1,000 words) explaining supplementary knowledge or experience if lacking specific subjects
- CV and motivation letter
Contact
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