Deutsch Intern
Institute of Computer Science

Course Schedules

The Master's in Artificial Intelligence degree programme allows you to design your own course schedule based on your personal interests. This elective area is accompanied by introductory AI courses and projects where you can put your learned knowledge to practice.

Programme structure

Area Sub-area Credits
Mandatory Courses   35 ECTS
Mandatory Electives   55 ECTS
  AI Methods 20-40 ECTS
  General AI Applications 10-20 ECTS
  AI Applications from other Areas 0-10 ECTS
  Computer Science 0-10 ECTS
Degree area   30 ECTS
Total   120 ECTS

Suggested schedule

  • Refer to the course directory on WueStudy to determine the currently offered elective courses.
  • KOP: Modules for the control examination. You must pass these modules in your first semester, or in the second semester at the latest.

 

KI-Projekte

The programme contains two mandatory AI project modules, each with 10 ECTS and about 300 hours of work. Each of these modules has to be fulfilled via practical courses (these might be called differently at different Chairs, e.g., "Praktikum" , "Lab", "Project", "Team Project") in which you're expected to carry out hands-on work in AI. 

There is no central catalogue of practical projects offered, so you need to contact the Chair with whom you're interested in doing the project and ask for a spot. Be aware that the practical course that you're taking must correspond to the prescribed ECTS of the project modules, that is, the corresponding project courses must have a 10 ECTS load. The topic of your project for each of the two labs must clearly be an AI topic. Perhaps self-explanatory, but projects from other areas of CS (i.e., not AI) cannot be credited for the AI projects.

Should you have any questions or dilemmas, please contact Goran Glavaš

Modules and documents

The regulations consist of the general academic and examination regulations (ASPO), the subject-specific provisons (FSB) and the list of modules (SFB).