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Master in Computer and Information Science
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1 - 2 Jahre
max. 5'000 CHF
- Minimum grade: good or better (German grading system: at least 2.5 or better). For questions about grade conversion, please contact the Division of Student Affairs and Teaching. Grading system at the University of Konstanz
- Academic degree: a three-year degree (minimum) with an above average result (B.Sc./M.Sc./Dipl.) in Computer Science, Information Engineering or a related subject from a recognised higher education institution.
- Required English language skills: min. B2 as defined by the CEFR
- Aptitude test: GRE revised General Test (Institution Code (DI)): 7174. Applicants with a non-Bologna degree MUST PASS the GRE test with a minimum of 155 points in each section (Verbal Reasoning and Quantitative Reasoning)
- Letter of motivation: information about your academic background and specialization.
- Specific requirements for applicants who wish to apply for the one-year master’s programme: Applicants who wish to apply for the one-year master’s programme must provide a short written statement regarding the research field in the Department of Computer and Information Science that they plan to specialize in. Applicants are requested to name an academic supervisor (mentor) and give detailed information on the profile of the final area of studies.
Über den Studiengang
Graduate studies; requires an undergraduate university degree.
The Master’s programme in Computer and Information Science at the University of Konstanz is geared towards the computer-assisted processing of large volumes of data and is designed to provide students interested in the development of complex information and analysis systems with the requisite knowledge. These systems feature a combination of automatic data analysis procedures and interactive visualization. Ensuring that this type of system is both technically feasible and user-friendly requires a thorough grasp of a variety of methods and technologies from different branches of computer science:
- information system development (e.g. databases, software engineering, and networks),
- visualization (e.g. computer graphics and computer vision),
- data analysis (e.g. data mining and visual analytics),
- algorithms (e.g. network science and signal processing) and
- information science (e.g. interaction design and information retrieval).