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
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)
- Usability (in process of being refilled for spring 2019): acting stand-in academic staff for summer-semester 2018 and winter semester 2018/19: Dr. Jan Ehlers)
- 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)
- Prof. Matthias Hagen (first German chair in Big Data Analytics)
Structure of studies
The master’s programme Computer Science for Digital Media comprises lectures, tutorials, seminars, two comprehensive student research projects as well as a master’s thesis for which students can choose between various specialised fields. During the first and third semester, students undertake research projects (15 ECTS each) in small groups of 3-6 students, which can be selected from a wide variety of topics offered by the different professorships. A large elective module (24 ECTS) spanning the second and third semester allows students to further specialise in advanced topics of computer science, mathematics or master’s courses from other fields. The third semester is also an ideal semester to be spent abroad, since it offers greater flexibility with respect to the choice of classes. The fourth and final semester is reserved for conducting the master’s thesis project.
The standard duration of studies for the Computer Science for Digital Media master’s programme is four semesters leading to the award of a Master of Science degree. All master’s courses are offered in English. Basic English is spoken nearly everywhere, since the historic city of Weimar attracts many visitors from all over the world. However it is useful to acquire some knowledge of the German language to simplify your daily life. Teaching and research assistantships as well as other jobs are readily available at the university and with local companies. The Student Services and the Student Council support students in finding jobs.
Application information can be found here.
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.
Our graduates find employment in the R&D departments of companies in the automotive, telecommunication, software, gaming and animation industry, as well as at academic institutions in Germany and overseas. A specialisation in Computer Science with focus on media opens the door for employment and research in innovative areas such as system development, algorithm development, data analysis, data mining, scientific visualisation, image processing, physical simulation, interface development and testing and security protocols development.
Prof. Dr. Stefan Lucks
Computer Science for Digital Media, Master of Science
Bauhausstraße 11, room 220