The master program consists of three semesters. Active participation in research projects of the Institute of Information Systems (iisys) is the main focus in all three semesters. The first two semesters also contain mandatory and electible modules. All courses are taught in English language.



Obligatory modules

  • New technologies in computer science
  • Design science approaches in computer science research
  • Behavioral approaches in computer science research
  • Designing and developing business models
  • Project seminar
  • Research project

Choice of possible modules

  • Security of information systems
  • Data engineering and analysis methods
  • Mixed Media (AR, VR, MR)
  • IoT Architectures
  • Security Research Seminar
  • Information Structuring and Visualization

Master thesis


The third semester is dedicated to the master thesis. Based on the work package within a research project, the student should elaborate a large scientific paper with substantial scientific pretension according to international standards.

Research topics for project work


Research Group Analytical Information Systems
(Prof. Dr. Jörg Scheidt)

  • Statistical methods for industrial applications
    (like risk analysis, sales forecast, predictive maintenance, ...)
  • Citizen science projects for public health
  • Data analytics for medical research (mainly headache research)


Research Group Cyber-Physical Systems
(Prof. Dr. Valentin Plenk)

  • Industry 4.0 - vertical integration
  • Condition monitoring and predictive maintenance
  • Industry 4.0 - processing performance, quality and status data
  • Application of machine learning approaches in a production environment


Research Group Multimedia Information Systems
(Prof. Dr. Richard Göbel)

  • New Database Concepts (NoSQL)
  • Distributed databases
  • Management of heterogeneous structured and unstructured data including spatial data and texts
  • Geographical Information Systems

Research Group Systems Integration
(Prof. Dr. René Peinl)

  • Customization of Software as a Service (SaaS) applications
  • Model-driven development for low code application platforms
  • Natural user interfaces for IoT applications (speech, VR, AR, gestures, …)
  • Fast inferencing for deep neural networks on embedded systems (image, video, speech)
  • Natural language uderstanding with deep neural networks


Research Group Visual Analytics
(Prof. Dr. Claus Atzenbeck)

  • Computer-Supported Cooperative Work (CSCW) from Knowledge Workers' Perspectives
  • Human-Computer Interaction (HCI) for Browsing Information Spaces
  • Human Factors in Information Structures



Campus Hof

95028 Hof

Campus Münchberg

Kulmbacher Str. 76
95213 Münchberg