Computer Science and Media, Master of Science

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

• 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)
• Prof. Hagen Höpfner (author of the standard text book on mobile database and information systems)
• Prof. Sven Bertel (just returned from a two-year post-doctoral position at the famous Beckman Institute for Advanced Science and Technology, Human Factors Division, University of Illinois at Urbana-Champaign). 
• New professorships in the field of Computer Vision, starting in Autumn 2011, and Human-Computer Interfaces, starting in Spring 2012, will complement the team.

The master’s 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 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 and 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.