Applied Computer Science, Master 1 subject

  • How does the systematic development of software work?
  • How can we solve problems occurring in different area of application using the methods and processes of computer science?
  • Which resources are required to have computers solve certain tasks?
  • Which types of problems cannot be solved by a machine within a reasonable period of time?
  • How can software projects be planned, managed and controlled?

Profile

Degree
Master of Science
Start
Winter- and summer semester
Duration
4 semesters
Classroom language
German, English
Admission
Not restricted, application service
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 paves the way for critical classification of scientific knowledge and for responsible, interdisciplinary thinking and action.
It provides the opportunity to specialise in the following fields ...
  • Computational neuroscience
  • Computer vision and autonomous robotics
  • Machine learning
  • Construction engineering
  • Mechanical engineering
  • Bioinformatics

Who is suited?
Those who wish to enrol in this degree programme,
has:
  • basic understanding of theoretical, technical and applied computer science

enjoys:

  • promoting innovation
  • working in a team
  • mastering interdisciplinary tasks

struggles through:

  • problems and finds solutions
This degree programme is suited for graduates in the following subjects
  • Applied Computer Science
  • Computer Science
  • and related degree programmes
Graduates from this degree programme frequently work
  • as software and system developers
  • as researchers
  • as project managers
  • as executive staff
  • as consultancy providers
And else?
An internship ...

is optional.

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

Dipl.-Biol. Studienberatung Informatik
Building, Room: MC 1.36
Phone: +49 (0)234 / 32-19293
Email:
Website academic advisory office

Contact students

Fachschaft Angewandte Informatik
Building, Room: MC 0.67
Phone:
Email:
Website Fachschaft

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