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Profile

In the English-language Master’s degree programme Computer Science for Digital Media, students are introduced to the latest research findings in the field of interactive digital media. In addition to providing research-oriented professional training, the programme helps students acquire communication and presentation skills through their project work.

The entire programme is taught in English. »English is the technical language in computer science and thus it has to be an integral part of the curriculum,« says the Computer Science for Digital Media coordinator Prof. Dr. Stefan Lucks. »Our graduates are thus optimally prepared for the IT job market and are competitive especially in international research and development.«

The programme

The internationally recognized and accredited master's programme adopts an integrative approach based on two fundamental concepts:

  • Study of a selection of primary subject areas: media security, data mining, information retrieval, machine learning, visual analytics, optimization, mathematical modelling, mobile media, human-computer interfaces, usability, graphics, computer vision and visualisation.
  • Acquisition of soft skills through a project-based study approach including active training of scientific communication, presentation and writing skills in small groups.


Further information on the curriculum can be found » here

Faculty

The research-oriented master’s programme is taught by internationally renowned professors:

  • Prof. Stefan Lucks (member of the Skein team, finalist in NIST’s cryptographic hash algorithm competition)
  • Prof. Benno Stein (founder of the international PAN competition on uncovering plagiarism, authorship, and social software misuse)
  • Prof. Charles Wüthrich (collaborates with an educational TV production institution)
  • Prof. Bernd Fröhlich (winner of the virtual reality technical achievement award, co-founder of the IEEE Symposium on 3D User Interfaces)
  • Prof. Volker Rodehorst (recognized as computer vision and photogrammetry expert)
  • Prof. Norbert Siegmund (expert on digitalization, configurable software systems and performance analyses as well as on applied machine learning in software engineering)
  • Jun.-Prof. Dr. Jan Ehlers (expert on Usability, brain computer interfaces, physiological computing, biofeedback, and pupillometry)
  • Prof. Florian Echtler (Expert in tangible und multi-touch interaction)
  • Prof. Eva Hornecker (recognized expert in innovative human-computer interaction concepts, user-centered design and museum installations, co-founder of the international conference series 'Tangible Embedded and Embodied Interaction', back in Germany after 8 years residence in the UK and New Zealand)

Research profile

Besides the scientific orientation of the professorships, the research orientation of the master’s programme is further confirmed by a set of descriptors outlined by the Accreditation Council

  • The imparted knowledge of many courses is strongly oriented around the current research of the professorships and provides profound theoretical foundations supplemented by current research questions and results.
  • Scientifically-oriented seminars and projects demand a high degree of independent development of scientific knowledge and provide career-relevant key qualifications. The projects provide a framework for students to propose, implement and defend first independent research initiatives.
  • Students are regularly involved in current research and development projects during their projects, theses and as student assistants.
  • Access to scientific literature (online / on-site) for students is good and the selection available in the library is continually updated by the professors.
  • The laboratories of the professorships offer very good and, in some areas excellent infrastructure for the implementation of projects and theses.
  • The Faculty of Media provides funding for two or three doctoral students per chair. In most cases each chair has further project-funded doctoral students who also serve as tutors for projects and theses. Accordingly excellent mentoring opportunities are available for the up to 30 new MSc students per year with 8 professors and a combined total of approximately 30 Ph.D students available for consultation.


Two further indications of the research orientation of the MSc programme include the students’ involvement in international publication activities and their employment after graduation in an academic or research-oriented environment.

Contact

Prof. Dr. Charles A. Wüthrich
Course Guidance
Computer Science for Digital Media, Master of Science

Bauhausstraße 11, room 111
99423 Weimar

E-mail: csm-info[at]medien.uni-weimar.de

FAQ Computer Science for Digital Media

For further information on arrival support please contact international-cs[at]medien.uni-weimar.de or follow this »Link

Computer Science for Digital Media

degree Master of Science
standard time of degree 4 semesters (2 years)
language English
start of study summer semester, winter semester
application deadline within EU 31 march, 30 september
application deadline outside EU 15 january, 15 july
application procedure <a class="internal-link" title="internal title text" href="t3://page?uid=40609">qualifications check</a>

Downloads

For students studying from 2020/21

Study regulations: MdU 38/2020 (German)
Englisch Reading Version
Examination regulations: MdU 37/2020 (German)
Englisch Reading Version

For students studying from 2018/19

Study regulations: MdU 02/2017 (German)
English Reading Version
Examination regulations: MdU 21/2018 (German)
English Reading Version

Curriculum

For students studying since 2017

Study regulations: MdU 02/2017 (German)
English Reading Version
Examination regulations: MdU 01/2017 (German)
English Reading Version

Curriculum

For students studying since 2011

Study regulations: MdU 11/2011 (German)
English Reading Version
Examination Regulations (PV 11): MdU 10/2011 (German)
English Reading Version

Curriculum

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