Computer Science, Master 1 subject

  • ​​How do you program robots?
  • How does a cloud work?
  • How do navigation systems find the fastest route?
  • What are quantum computers?
  • How does a smartphone recognise its owner's face?


Master of Science
Computer Science
Winter- and summer semester
4 semesters
Classroom language
Not restricted
Information on enrollment/application for German applicants

Information on enrollment/application for German applicants

Application information for international applicants

Application information for international applicants

What's it all about?
This degree programme is unique, because ...

it is at the forefront of technological innovation and enables students to actively participate in the development of future-oriented IT solutions.

It provides the opportunity to specialise in the following fields ...
  • ​Design, Implementation and Analysis of Computer Systems
  • Algorithms
  • Computer Security
  • Software Engineering and Programming Languages
  • Artificial Intelligence
  • Complexity
  • Data Science
Who is suited?
Those who wish to enrol in this degree programme,


  • Analytical skills, creativity in problem solving and a willingness to constantly learn new things. All further information on subject-specific requirements and the application procedure can be found on the website of the Faculty of Computer Science.
  • solving complex problems, programming and immersing yourself in new technologies.
Struggle through:
  • challenging projects, continuous learning processes and the constant development of specialized knowledge
This degree programme is suited for graduates in the following subjects

​Computer Science

Graduates from this degree programme frequently work
  • in software development and IT consulting
  • in the field of research and development
  • as a data scientist in various industries
  • in project management for IT projects
  • in IT security
And else?
An internship ...

is optional.

Studying abroad ... can be covered voluntarily.
Where do I find help?
Academic advisory office

Ruzbeh Nagafi
Building, Room: Gebäude MC, 1/36 & 1/37
Phone: +49 (0)234 / 32-0234 32 19293
Website academic advisory office

Contact students

Fachschaft Informatik
Building, Room: MC 0.66
Website Fachschaft