Social Computing

Overview
Department: Informatik
Degree: Master of Science
Duration: 4 Semester
Credit Points: 120 ECTS
Languages: German
Time: Fulltime
Study type: Presence study
Begin: Winter and Summer semester

Contents

In the consecutive Master's programme "Socio-informatics" students acquire competencies in the specification and empirical evaluation of software systems as well as in the realisation of software engineering projects with special consideration of the social context.

The course of study focuses on the communication and application of in-depth knowledge in sub-areas of computer science, economics and the social sciences. Computer science education focuses on software engineering and intelligent systems, while education in the social sciences focuses on psychology and cognitive science. In the economic sciences, the focus is on e-business and entrepreneurship.

Students are introduced to the state of the art in the sub-fields of computer science. With the successful completion of the Master's degree, graduates of the programme are qualified for independent further education according to the state of research in the chosen fields. Furthermore, they are given the tools for independent scientific work.

Structure

The consecutive master degree course Socioinformatics is a two year university degree course which requires knowledge from the bachelor degree course Sozioinformatics.
Students doing this course in particular gain skills in the specification and empirical evaluation of software systems as well as the realisation of software development projects with particular reference to social context.

The degree course focuses on the communication and application of profound knowledge in areas of computer science, economics and social sciences. The computer science part of the course focuses on software engineering and intelligent systems. The social sciences part of the course concentrates on philosophy and psychology. The focus in economics is on business studies, e-business and start-up management.

Students are taught to research level in computer science areas. Students who graduate successfully with a master are qualified to do independent further training according to the level of research in the chosen areas. In addition they gain the skills to independently carry out scientific work. Graduates of this course qualify for demanding jobs in economics and can be admitted to do a PhD.

Study advice

Dr. Ing. habil. Bernd Schürmann, Tel.: 0049 (0)631 205 2507, E-Mail: schuerma@informatik.uni-kl.de, building 48, room 373

Dipl.-Päd. Christian Bogner, Tel.: 0049 (0)631 205 2572, E-Mail: bogner@cs.uni-kl.de, building 48, room 371

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