English 
Deutsch Who is the Master’s programme Data Science for Society and Business suitable for?
The Master’s programme Data Science for Society and Business is aimed at graduates of social sciences – such as economics, sociology, psychology, political or media studies – who want to apply data-based methods to societal or economic issues. It also offers a suitable further education perspective for people from the natural, environmental or health sciences with solid quantitative prior knowledge and an interest in data science. The programme particularly appeals to applicants who think interdisciplinarily, want to help shape social change, or implement data-driven innovations in business or research environments.
Which formal admission requirements must you meet?
For admission, you need a first, internationally recognised university degree (Bachelor or equivalent) in one of the following fields:
- Social sciences (for example economics, sociology, psychology, political science, demography, media studies)
- Humanities or natural sciences (such as history, environmental sciences, health, neuroscience) with a verifiable quantitative component
The programme is taught entirely in English. Therefore, proof of English language skills (e.g. through TOEFL or IELTS) is required. Further formal criteria may be set internally by the university, such as a letter of motivation or an interview. No specific professional experience is required for application, but relevant practical experience in dealing with quantitative methods can be advantageous.
You should have a pronounced analytical and logical way of thinking and enjoy capturing complex contexts using statistical and digital methods. Independent learning, commitment in interdisciplinary teams and an interest in social, economic or technological future issues are important personal prerequisites. Basic programming skills or experience in handling data are helpful but not mandatory – the curriculum offers accompanying support to close technical knowledge gaps. Motivation to engage systematically with the digitalisation of society and the economy is expected.
Which competencies will you acquire in the Master’s Data Science for Society and Business?
In the Master’s programme Data Science for Society and Business, you develop comprehensive skills at the intersection of data analysis, society, business and technology. The content combines social data science, business analytics as well as health and environmental aspects in an interdisciplinary approach. You learn to analyse large datasets and derive well-founded recommendations for action for companies and society. An overview of the key study contents:
- Digital Transformation: Analysis of the social, economic and ethical impacts of data-driven processes.
- Data Analysis & Data Science: Statistics, machine learning, data management, programming (at least one language) and modern analysis tools.
- Business Analytics & Computational Social Science: Practice-relevant models and methods to evaluate data in economic and social contexts.
- Specialisation Tracks:
- Society & Business: Smart Cities, Supply Chain Analytics, Business Management, Organisational Development.
- Data Science: Data Mining, AI, modelling and statistical analysis also with a focus on social and economic data.
- Environmental & Health: Analysis of health and environmental data, prediction of disease courses, monitoring of environmental factors.
- Practical Modules & Projects: Application-oriented projects, lab work, cooperation with companies or organisations.
- Scientific Work & Communication: Presentation techniques, visualisation, ethical and legal frameworks of data processing.
After completing the degree, you will possess highly specialised skills to identify, analyse and solve data-based challenges in society and business in a practice-oriented manner – including modern programming languages and advanced quantitative methods.
How is the Data Science degree structured and organised?
The Master’s programme lasts four semesters full-time at Constructor University in Bremen. The curriculum is modular and enables you to set your own priorities. The main elements of the study programme:
- Core Modules: Teaching basics in digital society, digitalisation in business, and scientific methods of data science.
- Methodology Area: Development of programming skills, application of dynamic models and statistical procedures on real data.
- Discovery Modules: Practical applications and labs, insights into current practical projects, invitation of experts from business and science. Project or capstone work on practice-relevant topics.
- Elective Tracks: Personalised selection from the three specialisation areas: Society & Business, Data Science, Environmental & Health.
- Career Area: Promotion of soft skills, communication, intercultural working, legal and ethical topics of digitalisation. In addition, language courses and career training can be taken.
- Internship (optional): Possible as an alternative to the capstone project and part of the career modules, e.g. in companies or international organisations.
- Master’s Thesis: Final thesis on an original research question, often in cooperation with external partners from research or industry.
Teaching takes place in small groups with a high practical component. Innovative learning environments, individual interaction with lecturers and the integration of international students shape the studies.
Which professions and perspectives open up after graduation?
With the MSc Data Science for Society and Business, you have in-demand competencies enabling entry into many sectors and positions. According to a survey by Constructor University, 93 % of graduates find a suitable job within one year. Typical career options include:
- Data Scientist, Data Analyst, AI Research Scientist: Analysis and modelling of large datasets, development and application of machine learning models in companies, research institutions or NGOs.
- Business Intelligence Analyst, Market Researcher, Financial Analyst: Data-driven consulting and strategy development in business, finance and marketing.
- Consulting and Project Management: Support for digitalisation projects in the social and economic sectors, consulting for data-based business processes.
- Medical Data Analyst, Environmental Data Specialist: Work at the interfaces of health, environment and technology in institutions, authorities or start-ups.
- Specialist and Leadership Roles: Data Management Expert, Data Protection Specialist, Digital Transformation, Entrepreneurship – in international companies, authorities or academia.
The degree also qualifies you for a subsequent doctoral programme (PhD). The university’s broad network supports entry into renowned research institutes, tech companies, consultancies and international organisations.
Where does the Master’s programme Data Science for Society and Business take place?
You study entirely on campus at Constructor University in Bremen. The university is known for its international community, modern infrastructure and practice-oriented teaching. About 1,600 students from over 110 nations live and learn on Campus Ring 1 in Bremen-Nord. The study atmosphere is characterised by interdisciplinary collaboration and close contact with lecturers. Numerous practical and research projects arise in cooperation with external partners, directly on site or as part of excursions and projects outside the campus.
What costs arise and how can the studies be financed?
The tuition fees for the Master’s Data Science for Society and Business amount to €10,000 per semester, a total of €40,000 for the entire duration of two years. Additional costs for accommodation, meals and personal expenses may apply. For financing, Constructor University offers various options:
- Academic Scholarships: All applicants are automatically considered for a scholarship based on their first degree final grade.
- Individual Financial Advice: After admission, each person receives an individual financing package based on their personal situation.
- Flexible Financing Options: The university supports queries regarding instalment payments, external scholarships and financing models.
A dedicated team for Student Finance advises you on all options to enable your start in the Master’s programme at the Bremen location.
Advisory Service
Have questions about Academic Programs Data Science for Society and Business? Ask your question here, even anonymously. An employee of the institution Constructor University or the editorial team will answer you.