Data Science for Society and Business (MSc)

The 2-year MSc program „Data Science for Society and Business (DSSB)“ is a highly selective program for students of social sciences and business aiming to become data science experts. The program may also be interesting for students from natural sciences, or humanities aiming to expand into big data analytics, data-driven and computational social science, based on their strong quantitative background.

During two exciting years, graduates gain cutting edge competences, tools and methods to discuss, model, predict and solve the pressing challenges of digital societies, modern organizations and competitive businesses.

The truly multidisciplinary program combines a broad course offering from multiple social and data science disciplines with 4 elective tracks to allow for individual diversity and further specialization. With a focus on high employability, DSSB graduates are best prepared for quickly growing, global professional and academic career options resulting from digitization.

The MSc Data Science for Society and Business study program teaches international students with strong backgrounds in social sciences (e.g. business, economics, demography, media studies, political science, psychology, sociology,) how to make use of rapidly growing digital data resources and new computational tools and methods to potentially solve the challenging interdisciplinary problems in their professional or academic field.

The program may also be interesting for students with a background in humanities, natural or technical science who want to focus on innovative social data analytics and pressing social and business questions emerging from digitization.

Students of the DSSB program thereby benefit from a broad course offering in various social, data and business sciences and the close cooperation with computer sciences, environmental and life sciences.

In addition, the program also promotes individual diversity and specialization. DSSB students can pick and choose course offerings from the 4 elective tracks based on their individual interests and career plans

• The Society Track adds computational social science approaches and pressing questions on cybercriminology or smart city and transport concepts
• The Business Track covers principles of consulting, sustainable economics, supply chain finance as well as disruptive production and logistics models
• The Health & Environmental Track connects socially relevant data science questions with insights and techniques from the natural sciences (health, medical, environmental sciences)
• The Data Science Track allows students with a strong mathematical or computing background to dive deep into data mining, data analytics and machine learning

At the end of the 2-year program DSSB graduates will have expertise in digital contents and data science skills to responsibly and capably solve core problems in future organizations and digital societies.