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Universität Konstanz Fachbereich Informatik & Informationswissenschaft

The Master’s Degree program in Information Engineering

Information society and data influx

The Master’s degree program in Information Engineering at the University of Konstanz is aligned towards the processing of large quantities of data with regard to information. Students, who are interested in user-oriented information- and analysis systems, acquire here the necessary know-how to develop complex applications. It is not until data analysis methods can be linked to interactive visualisations that data can be turned into knowledge and provide the crucial impulse to initiate many applications in science and business.

There are two possible final degrees within the context of the Master’s degree program:

  • Master of Computer Science
  • Master of Information Science

At the beginning of the study program, the final degree you want to take has to be discussed with your mentor.

Program of study

The Master’s program of study is composed of a three-term in-depth coursework program and an additional term during which the Master thesis is prepared and presented in an oral exam in the context of a colloquium.

The Master’s program of study concentrates on four subject areas:

  • information systems
  • data analysis
  • visualisation
  • interaction

These four areas are found throughout the study profiles.
Profile scheme: Study profile (PDF file is only available in German). 

Study profile

The study profiles are models and should be used to help provide focus (based on the four mentioned subject areas). You shape your Master’s degree in Information Engineering, giving it a certain specialisation from the broad field of applied and practical computer science.
The study profiles provide you with interesting specialisations on your way to becoming an Information Engineer:

Master’s degree program

The program of study for a Master’s degree is distinguished by the diverse opportunities it offers to specialise in any of the core topics of Information Engineering.

For each of the four subject areas, Basics of computer science, Applied computer science, System computer science and Information science, we have listed a sample selection of seminars.
This is merely to provide you with an idea of what is possible and can be varied as desired (taking the examination regulations into consideration).

Basics of informatics

First degree

Degree in computer science

Different department
Modules

Basic module: media studies
Advanced module: media studies

In-depth coursework program

Design & analysis of algorithms
Drawing of graphs

Seminar

Drawing of graph

Master project

Network-text analysis

Compulsory elective

Visual search systems
Information ethics
Basics of data compression
Task processing in databases
Geo-Information systems (GIS)

Master thesis

on algorithms for the visual exploration of message texts



Applied informatics

First degree

Bachelor in Information Engineering

Different department
Modules

Advanced module: psychology
Advanced module: mathematics

In-depth coursework program

Photo-realistic image formation
Geometry processing (seminar)
Visual search systems

Seminar

Interaction design in computer- and video games

Master project

Interactive computer graphics

Compulsory elective

Usability engineering 1+2
Drawing of graphs
Methods of soft computing
Software engineering

Master thesis

on software visualisation



System informatics

First degree

Degree in Business Informatics (University of Applied Sciences)

Different department
Modules

Advanced module: business administration
Basic module: political science

In-depth coursework program

Design & analysis of algorithms
Task processing in databases
Heterogenic data mining (seminar)

Seminar

Algorithms for similarity searches in molecular
structures

Master project

Machine learning

Compulsory elective

Application development for powerwall (seminar)
Information visualisation
Business intelligence (seminar)
Task processing in database systems
Distributed systems (project)

Master thesis

on data mining in E-commerce



Information science

First degree

Graduate degree (Magister) in Graphics & Design (admission examination)

Different department
Modules

None (compulsory electives B)

In-depth coursework program

Information visualisation
Usability engineering 1
Digital information curation (seminar)
Seminar online marketing for internet services

Master project

Visual search systems

Compulsory elective

Visual search systems
Visual requirements engineering for interaction
design
Electronic publishing: Professional communication and
entertainment industry
Media technology, pedagogy and didactics
Tendencies in e-learning (seminar)
Knowledge discovery in heterogonous data (seminar)
UNIX and shell scripts
Software engineering
Architecture and implementation of database systems
Transaction-oriented information systems

Master thesis

on visual searching and Web design

Further information on the structure and content of the Master’s degree program can be found in the module catalogue for the Bachelor’s and Master’s degree programs (PDF file is only available in German).

Career perspectives

Information engineers are required where large quantities of data need to be processed and visualised. Visualisation experts and data managers are desperately needed in the business world, for example:

  • as system engineers for banks and insurance companies
  • as software consultants,
  • as interaction designers and usability engineers in the filed of telematics, at internet agencies and software companies,
  • as developers for companies in the film-, simulation-, and computer game industry,
  • as specialists for market research, organisation consulting, logistic- or network management,
  • in research and development at universities and institutes.  

Quick access

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Fields of interest
Aktuelles

Colloquium
Dr. Claudia Haff, University of Twente, Enschede, Netherlands

Wednesday, Nov 25th, 2009, 16:15h, C252

 

Thesis proposals in the upcoming semester will be  on the following dates:

- Wednesday, Dec 9, 2009, 16:15h, C252
- Wednesday, Jan 13, 2010, 16:15h, C252

 

 

 


 

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Herausgeber: Universität Konstanz, Fachbereich Informatik und Informationswissenschaft
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