Distance learning program Data Science for Society and Business (M.Sc.) – Constructor University

👉 The Master's programme Data Science for Society and Business is aimed at students with a strong social science background as well as those from the humanities and natural sciences with an interest in quantitative methods. The focus lies on mathematical and statistical fundamentals, machine learning algorithms, and the analysis of digital data to address social and economic issues. This two-year distance learning programme comprises 120 ECTS credits and combines asynchronous teaching materials with synchronous tutorials and practice-oriented projects. You will develop skills in data modelling, analysis, and visualisation to work in sectors such as consulting, public administration, media, or research. The degree is internationally recognised and supports entry into the profession or progression to doctoral studies.

Data Science for Society and Business (M.Sc.) at a Glance

📜 Degree Master of Science (M.Sc.)
⏳ Duration 4 Semesters
💶 Fees
from 10000 € total
🏫 Provider Constructor University, University based in Bremen (Deutschland)
The Constructor University Bremen is a private, English-language campus university with an international orientation. It offers interdisciplinary study programmes in natural, engineering, social, and economic sciences at the bachelor's, master's, and PhD levels. Research and teaching are practice-oriented and carried out in close cooperation with global partners. The university is characterized by a high degree of internationality, modern infrastructure, and excellent placements in international rankings.
📋 Study Format Distance learning program
🎓 Field of Study Technology & InformaticsData Science & AI
🎯 ECTS 120 Credit Points
🌍 Language of Instruction English
📅 Enrollment Winter or summer semester
🔗 More Info View Vendor Profile

Who is the Master's programme "Data Science for Society and Business" suitable for?

The online programme is aimed at graduates with a strong interest in the connection between data sciences and societal issues. It is particularly addressed to people with a background in social sciences such as sociology, political science, psychology, economics, management, media or communication studies, who wish to develop data-based analysis and solution skills for business, administration or research. Applicants from the humanities, natural sciences or health sciences with a quantitative orientation are also welcome, provided they have a fundamental interest in interdisciplinary work and data-based methods. The target group includes both career starters and professionals seeking a career as data scientists in societal or economic contexts.

Which certificates and qualifications do you need?

To be admitted to the MSc Data Science for Society and Business, you must meet the following requirements:

  • First professional university degree (e.g. Bachelor) – preferably in a social science, economic science, natural science or related quantitative subject
  • Proof of your academic achievements through official or certified copies of degree certificates and transcript of records
  • English language certificate – at least one of the following scores: TOEFL 90, IELTS 6.5 or Duolingo 110
  • Motivation letter explaining your reasons and suitability
  • Curriculum vitae (CV) in current form
  • Copy of your passport
  • Letter of recommendation (optional, recommended in case of subject specialisation)

On a personal level, you should bring the following prerequisites:

  • Strong analytical thinking skills as well as solid basic knowledge of mathematics or statistics
  • Interest in interdisciplinary issues at the interface of society, economy and data analysis
  • Self-motivation and high self-organisation for the flexible online study format
  • Willingness to learn new digital tools and methods
  • English skills at an academic level, as the programme is conducted exclusively in English
  • Ability to work in a team for project-based collaboration in international learning groups

What skills does the Master’s degree programme „Data Science for Society and Business“ provide you with?

In the Master's programme „Data Science for Society and Business“, you acquire comprehensive knowledge in the field of data sciences with a focus on societal and economic challenges. The curriculum integrates mathematical and statistical fundamentals, key data analysis methods as well as algorithmic thinking from computer science. You learn how to analyse large, often unstructured data sets from social networks, public administrations and companies, develop models and derive practical solutions from them.

  • Mathematical and statistical methods (linear algebra, probability theory, dimension reduction, forecasting models)
  • Algorithmic fundamentals (supervised and unsupervised learning, data projection, complexity analyses)
  • Data Science tools (data preparation, modelling, validation, visualisation of results)
  • Practically relevant programming skills for data-driven analyses in societal and economic contexts
  • Critical reflection of digital transformation processes and their influence on society and organisations
  • Problem-solving oriented thinking for designing innovations, managing crises and analysing trends such as migration, mobilisation or sustainable growth

At the end of this Master’s, you are able to independently analyse complex data-driven problems from business, social sector, science and administration, develop intelligent models and work in a multidisciplinary way.

How is the programme structured and how does it work?

The programme consists of four consecutive semesters (standard period of study: two years) and is organised entirely as a fully online distance learning course. The didactic approach combines asynchronous learning phases (self-study modules, video lectures, digital self-tests) with synchronous formats such as live tutorials, online meetings and interactive case studies.

  • Modular course structure: Core modules, methods and foundational subjects as well as electives from the Data Science field – altogether 120 ECTS credits
  • Practice-oriented elements: Projects, case studies and intensive cooperation with research and industry partners
  • Virtual learning groups: Collaboration in an international student environment and supervision by experienced lecturers as well as tutors
  • Digital learning management system (LMS): Access to all learning materials, online examinations, podcasts and tools for teamwork
  • Final thesis (Master Thesis): In the fourth semester, often in cooperation with companies or research institutions
  • Optional: Internship opportunities within the Constructor network

The graduation documents are regular Master’s certificates; the online format is indicated on the Diploma Supplement. A trip to the ceremonial award is optional, the documents are also sent by post.

What career prospects open up after graduation?

With a Master of Science in Data Science for Society and Business, you qualify for numerous roles at the interface of data analysis, digitalisation and societal development. According to a university survey, 93 % of all graduates find new employment within one year. Numerous sectors specifically seek young talent with your skills:

  • Data scientists in companies, consultancies and international organisations
  • Business intelligence analysts, consultants and market researchers in trade, industry, telecommunications and the financial sector
  • Data analysts for administration, NGOs and international organisations (e.g. OECD, WHO, EU, UN)
  • Roles in public affairs, journalism, political think tanks and data protection
  • Experts in information security, databases and project management
  • Academic and research career path: The Master enables entry into doctoral studies (PhD)

The contacts from the study programme as well as voluntary internships in the Constructor network improve access to leading employers and offer practice-oriented career entry in Germany or internationally.

What costs arise and how can you finance your studies?

The tuition fee for the entire two-year online Master’s programme amounts to 10,000 Euro. Payment is usually made as a single amount at the beginning or alternatively in agreed instalments upon arrangement.

  • Total tuition fee: 10,000 Euro for two years (four semesters)
  • Financing options: The university does not offer its own scholarships, waivers or repayment models for this programme
  • Individual funding: Financing options may be available via external scholarships, education loans or employer sponsorship
  • Tax deductibility: Tuition fees and further education costs can (depending on personal circumstances) be claimed for tax purposes

Additional costs for learning materials, examinations or administration do not arise. As this is a fully digital programme, expenses for relocation or classic campus fees are omitted.

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