The internationally recognized and accredited degree 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.
* learning of key qualifications through a project-based study approach including active training of scientific communication, presentation and writing skills in small groups.
The research-oriented masters degree programme is taught by internationally renowned professors:
* Prof. Stefan Lucks (member of the Skein team, finalist in NISTs 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)
* Prof. Hagen Höpfner (author of the standard text book on mobile database and information systems)
* Prof. Sven Bertel (just returned from a two-years post-doctoral positionat the famous Beckman Institute for Advanced Science and Technology, Human Factors Division, University of Illinois at Urbana-Champaign).
* New professorships in Computer Vision, starting in Fall 2011, and Human-Computer Interfaces, starting in spring 2012, will complement the team.
The masters study programme 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 masters courses from other fields. The third semester is also an ideal semester to be spend abroad, since it offers a high flexibility with respect to the choice of classes. The fourth and final semester is reserved for conducting the Master's thesis project.
The regular study duration for the Computer Science and Media master's degree programme is four semesters and the degree Master of Science is awarded. All masters 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 assistant ships as well as other jobs are readily at the university and local companies. The Student Services and the Student Council support students in finding jobs.
The English Computer Science and Media master's degree programme begins in winter as well as in summer semester. Application submissions can be made online by the end of september or march.
Admission requires a Bachelor of Science degree in computer science, media informatics, media technology or an adjacent field with a strong focus on computer science such as electrical engineering, physics or mathematics. In accordance candidates must provide proof of English language proficiency at level B2 as put forth by the Common European Framework of Reference for Languages (GER). English mastery as a native speaker also suffices if the candidate provides a certificate of higher education entrance qualification or first-level professional qualification (i.e. undergraduate degree) from an English-speaking country.