Studienfächer (Courses of Study)

What is the M.A. programme about?

This interdisciplinary and international Master of Arts teaches you how to handle and interpret data to explore and understand social and historical discourses. You will study innovative state-of-the-art methods of discourse analysis with leading scholars from history, computer science, philosophy, politics, sociology, literary studies, and linguistics. This unique interdisciplinary setting will present you with cutting edge research to further your understanding of how language, knowledge, and society work together when creating new ideologies, scientific conclusions and legislation processes. The M.A. programme is taught in English in an inspiring international setting bringing together students from all over the world. We will encourage and support you to spent a semester abroad studying at one of our international partner universities including Tongji University Shanghai, Beijing Foreign Studies University, and Aarhus University.

Skills

After graduation, you will have acquired the knowledge and the skills to select and use the appropriate tools not only to edit, categorize and measure digital data but to analyse political, social, scientific and historical discourses. You will be able to apply these skills to current questions in research, science, and society and you will have gained experience in writing texts with a specific reader in mind based on your applications. You will experience research-oriented forms of teaching and learning which will ensure an outstanding professional qualification on the cutting edge of science. As the M.A. programme is geared towards international research and education, you will have gained rich experience in multi-cultural contexts.

Career Opportunities

The M.A. Data Discourse Studies provides training and qualification for future-oriented jobs in the fields of communication, analysis, policy for government, and writing including data driven journalism, marketing, marketing research, public relations, consulting or corporate communications. With more and more professional fields relying on data, you will be able to collaborate directly with computer science departments to produce e. g. strategy papers and company reports.

Specific entry requirements notwithstanding, you will have gained the qualification to join a PhD programme and to pursue an academic career in one of the related disciplines history, computer science, philosophy, politics, sociology, literary studies, and linguistics.