Information Engineering and Computer Science, MSc

This master's combines data acquisition, processing, analysis, networking, and distributed computing with application-oriented specialisation tracks such as computer science, environmental engineering, logistics, cyber-physical systems, and artificial intelligence. It is designed for interdisciplinary and internationally oriented information-management careers.

Academic requirements

Proof of a relevant TestAS certificate (minimum 100 points) or, alternatively, Graduate Aptitude Test (GATE) or Graduate Record Examination (GRE; Q = 160, V = 145, A = 4,5)

Minimum GPA

The current official programme page requires an overall mark of at least 2.3 in the undergraduate degree.

English requirements

The official programme page requires English at CEFR level B2 or better.

Accepted bachelor fields

The current official programme page requires a completed undergraduate degree that included practical computer science, computer engineering, and fundamentals in mathematics, natural sciences, and engineering. Missing subjects may be compensated in individual cases by related academic training or qualifications explained in an essay.

APS Certificate

Yes

Thesis required

Yes

Mandatory internship

No

Tuition fee

None

Semester contribution

347.10 EUR per semester for Summer Semester 2026 according to the current official Rhine-Waal University of Applied Sciences tuition-and-fees page.

ECTS credits

90

Funding info

Tuition: None Semester contribution: 347.10 EUR per semester for Summer Semester 2026 according to the current official Rhine-Waal University of Applied Sciences tuition-and-fees page.

Ideal candidate for all international companies and research institutes operating in the fields of: information and data management, Artificial Intelligence, development and operation of large web-based and cloud-like storage and computing facilities, simulation of complex systems (e.g. modelling the environment), development of decision support systems, hardware and software development for automation and control of logistic systems, hardware and software development of embedded systems (e.g. used by companies situated in the automobile or medical equipment industry).

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