Information for New Students

If you are new to the Media Informatics programme take a look at this welcome package.

Structure of the Programme

In the Master's programme Media Informatics courses in the following areas are offered:

  • Compulsory Modules
  • Computer and Communication Technology
  • Multimedia Technology
  • Multimedia Use and Impact
  • Practical Labs
  • Communication Skills

and the

  • Master's Thesis

Please find below examples for courses from the different areas. Keep in mind that these courses may not be offered anymore since this is a collection of offered courses over the last years.

This is the new structure for students who enrol first in Winter Semester 2019. Students who enrolled before winter 2019 continue as before and should finish until Summer Semester 2021.

Compulsory courses are marked with a hashtag #.

Compulsory Modules
  • Data Science #
  • Computer Graphics #
  • Designing Interactive System #
Computer and Communication Technology
  • Ad-Hoc Networks: Architectures and Protocols
  • Advanced Data Models
  • Advanced Internet Technology
  • Advanced Methods of Cryptography
  • Advanced Process Mining
  • Algorithmic Game Theory
  • Artificial Intelligence
  • Big Data Analytics
  • Communication Protocols
  • Communication Systems Engineering
  • Computational Differentiation
  • Cryptography
  • Data Science and Big Data
  • Die hohe Kunst der Kryptographie
  • Dynamic Systems for Computer Scientist
  • Embedded Systems
  • Functional safety and system dependability
  • Implementation of Databases
  • Intelligent Learning and Analysis Systems: Data Mining & Knowledge Discovery
  • Introduction to Bioinformatics
  • Introduction to Numerical Methods and Software
  • IT-Security 1 - Cryptographic Basics and Network Security
  • IT-Security 2 - Computer Security
  • Knowledge Graph Analysis
  • Mobile Internet Technology
  • Mobile Radio Networks 1
  • Model-Based Software Engineering
  • Object Oriented Software Construction
  • Online Algorithms
  • Principles and Architectures of Cognitive Radios
  • Research Focus Class on Communication Systems
  • Security in Mobile Communication
  • Sicherheit in der Mobilkommunikation
  • Social Computing
  • Software Project Management
  • The Art of Cryptography
Multimedia Technology
  • Advanced Machine Learning
  • Advanced Methods in Automatic Speech Recognition
  • Advanced Statistical Classification
  • Advanced Techniques in Physically-Based Animation
  • Advanced Topics of Virtual Reality
  • Advanced Topics of Virtual Reality
  • Automatic Speech Recognition
  • Computer Vision
  • Computer Vision 2
  • Designing Interactive Systems II
  • DSP Design Methodologies and Tools
  • Foundations of Audio Signal Processing
  • Game AI
  • Geometry Processing
  • Humanoid Robotics
  • Image Processing
  • Intelligent Learning and Analysis Systems: Machine Learning
  • iOS Application Development
  • Knowledge Representation
  • Machine Learning
  • Multimedia Communication Systems 1
  • Multimedia Signal Coding
  • Pattern Matching and Machine Learning for Audio Signal Processing
  • Pattern Recognition (I)
  • Pattern Recognition (II)
  • Physically Based Animation
  • Real-time Graphics
  • Semantic Web
  • Semantics Data Web Technologies
  • Social Networks
  • Statistical Classification and Machine Learning
  • Statistical Methods in Natural Language Processing
  • Technical Neural Networks
  • The Logic of Knowledge Bases
  • User Centered Technology Design
  • Virtual Reality
  • Visual Data Analysis
  • Web Mining
  • Web Science
Multimedia Use and Impact
  • Business Process Intelligence
  • CSCW and Groupware: Concepts and Systems for Computer Supported Cooperative Work
  • Current Topics in Media Computing and HCI
  • Data Driven Medicine - project-oriented, multidisciplinary introduction
  • eBusiness - Applications, Architecture and Standards
  • Entrepreneurship and New Media
  • HCI Design Patterns
  • Language, Culture, and Cognition
  • Language, Mind, and Media
  • Learning Technologies
  • Process Management
  • Social Data Science
Communication Skills
  • Technical Writing #
  • Seminar (e.g. in topics as stated above) #
  • German Language Course # (Native German speakers have to do another seminar instead of the German language course)
Lab Work
  • two Labs (e.g. in topics as stated above) #, one at one of the participating Fraunhofer Institutes #

The given lectures can vary from term to term and you can choose among them to get your needed credits. If you want to have a look at the currently and previously offered courses, please visit our course page.

In addition to the courses offered during the semester we do offer further courses in the lecture free period. These courses can increase your knowledge or speed up your study.

An example layout of the study may look like that:

First Year

Second Year

First SemesterSecond SemesterThird SemesterFourth Semester

~26 credits in lectures

Technical writing

(Bridging course)

~20 credits in lectures


Practical Lab


~12 credits in lectures

German course

Practical Lab

Master's thesis (6 months)