Master Requirements

This is an inofficial summary of departmental requirements; if there are any inconsistencies, the departmental and university regulations take precedence.

Master in Computer Science - Intelligent Systems


Required Courses

  • Pattern Recognition and Statistical Learning 89-1331
  • Methods and Models of Artificial Intelligence 89-1231

Additional Computer Science Courses

You must choose a total of 26 ECTS-LP from among the following courses:

  • Topics in Pattern Recognition and Image Understanding 89-1351
  • Knowledge Management 89-1251
  • Case-Based Reasoning 89-1252
  • The Semantic Web: Foundations, Methods, and Applications 89-1253
  • Foundations of Machine Learning 89-1254
  • Autonomous Mobile Robots 89-6131 89-6132
  • Biologically Motivated Robots 89-6151
  • Information Visualization 89-1651

The following courses are not listed in the official Modulhandbuch; however, it is possible that they can be used to satisfy this requirement. If you are interested in counting these or other computer science courses not listed here towards the course requirement, please make sure that your choices are approved.

  • Computational Biology; Alignments, Sequencing and Signals 89-5451
  • Computational Biology; Phylogenies and Structure Prediction 89-5452



Additional Courses in Other Fields

Fachbereich Mathematik

  • 81-621 Introduction to Mathematical Statistics / Linear Models in Statistics
  • 81-329 Einführung in die Computeralgebra
  • 81-404 Optimization II: Integer Programming
  • 81-405 Advanced Heuristic Optimization
  • 81-408 Scheduling Algorithms
  • 81-481 Mathematical Theory of Neural Networks
  • 81-605 Wahrscheinlichkeitstheorie
  • 81-621 Introduction to Mathematical Statistics / Linear Models in Statistics
  • 81-632 Nonparametric Statistics
  • 81-655 Game Theory: Evolution and Economic Behavior
  • 81-401 Optimierung I: Lineare und Netzwerkoptimierung
  • 81-404 Optimierung IIb: Nichtlineare Optimierung
  • 81-545 Modern methods of numerical linear and nonlinear algebra
  • 81-555 Parallel Scientific Computing
  • 81-567 Asymptotic Analysis
  • 81-569 Mathematical Introduction to Image Processing

Fachbereich Elektrotechnik und Informationstechnik

  • 85-535 Einführung in die Informations- und Codierungstheorie

Fachbereich Biologie

  • 88-736 Einführung in die Genetik I
  • 88-747 Einführung in die Genetik II
  • 88-749 Bioinformatik
  • 88-492 DNA-Sequenzanalyse

Fachbereich Wirtschaftswissenschaften (Betriebsinformatik)

  • 80-07011 Produktionswirtschaft
  • 80-02011 Betriebsinformatik/Operations Research – Entwurf von Informationssystemen
  • E-Commerce
  • 80-02221 Informationsstruktur der Unternehmung
  • Medieninformatik und Medienwirtschaft

Fachbereich Wirtschaftswissenschaften (Management)

  • 83-518 Einführung in die Psychologie
  • 80-02221 Informationsstruktur der Unternehmung
  • 80-01021 Organisation und Personal
  • International Business
  • 80-05111 Marketing
  • 80-01081 Personalführung I
  • 80-01091 Personalführung II

Fachbereich Wirtschaftswissenschaften/Sozialwissenschaften (Psychologie)

  • 83-518 Einführung in die Psychologie
  • 83-502 Lernen, Gedächtnis, Denken
  • 83-522 Kognitive Grundlagen des Entscheidens und Problemlösens in Organisationen
  • 80-01121 Software-Ergonomie
  • 80-05021 Marktforschung und Marketing-Informationssysteme
  • 80-01081 Personalführung I
  • 80-01091 Personalführung II
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