- Degree
- Master of Science
- Course location
- Bremen
- Teaching language
- • English
- Languages
- All courses are taught 100% in English.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Application deadline
- • Application due by 1 June for international students (for those who require a visa to enter and study in Germany)
• Application due by 31 July for EU/EEA citizens and citizens of the following countries: United States of America (including the US Virgin Islands, American Samoa, Guam, Puerto Rico, and the Northern Mariana Islands), Andorra, Australia (including the Cocos [Keeling] Islands, Norfolk Island, Christmas Island), Brazil, Canada, El Salvador, Honduras, Israel, Japan, Monaco, New Zealand (including the Cook Islands, Niue, and Tokelau), San Marino, Republic of South Korea, and Switzerland
- Tuition fees per semester in EUR
- 10,000 EUR
- Additional information on tuition fees
- Annual undergraduate 2025/26 tuition fees: 20,000 EUR
Annual graduate 2025/26 tuition fees: 20,000 EUR
Annual International Foundation Year 2025/26 tuition fees: 12,000 EUR
Annual online programme 2025/26 tuition fees: 5,000 EUR
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Master's programme in Data Science for Society and Business (DSSB) is an exclusive two-year course tailored for business and social science students who aspire to become specialists in data science. This programme is equally appealing to those from health and environmental science backgrounds who are keen to delve into big data analytics, data-driven strategies, and computational social science, leveraging their strong quantitative skills.
Over the course of two exciting years, students will acquire advanced skills, tools, and methodologies to address, analyse, forecast, and tackle the complex issues faced by digital societies, contemporary organisations, and competitive markets.
This comprehensive interdisciplinary programme offers a wide array of courses spanning several social and data science disciplines, and it includes three elective tracks that enhance personalisation and specialisation opportunities. With a strong emphasis on employability, the DSSB programme equips graduates to excel in the rapidly expanding array of global professional and academic opportunities that arise from digital transformation.
Additionally, the programme may attract students from the humanities, natural sciences, or engineering, who are interested in focusing on innovative social data analytics and addressing the significant social and business challenges brought about by digital advancements.