Data Science for Society and Business - Online - Uni4edu

Data Science for Society and Business - Online

Constructor University Campus, Germany

20000 / years

Bachelor's Degree24 months
Modern digital workspace with data visualization dashboards on multiple screens, diverse international students collaborating online, Constructor University Bremen campus buildings in the background with green trees and contemporary architecture
Master

Master of Science in Data Science for Society and Business - Online

Constructor University

Data Science

Duration2 Years (4 Semesters)
LanguageEnglish
FormatOnline (Full-time)
Credits120 ECTS

Program Overview: MSc Data Science for Society and Business (Online)

The MSc Data Science for Society and Business (DSSB) Online at Constructor University is a highly selective graduate program that teaches students with strong backgrounds in social sciences, business, or humanities how to harness rapidly growing digital data resources and cutting-edge computational tools. Delivered entirely online through Constructor University's state-of-the-art Learning Management System, the program combines asynchronous lectures with synchronous tutorials and hands-on collaborative sessions.

The program is part of the School of Business, Social and Decision Sciences and focuses on interdisciplinary research and education spanning business sciences, economics, political sciences, psychology, and sociology. Graduates emerge with the expertise to responsibly and capably solve core problems in future organizations and digital societies.

All study programs at Constructor University are accredited by the German Accreditation Council, guaranteeing adherence to high academic quality and international standards. The diploma is awarded in the same manner as on-campus programs and does not state the mode of teaching, giving graduates full recognition across the world.

Key Program Highlights

  • Unique interdisciplinary modular program with three elective tracks for individual diversity and specialization that promotes personalized career goals
  • Accredited by the German Accreditation Council with the same degree recognition as on-campus programs
  • Access to Constructor University's global alumni network and direct connections to leading tech companies, consulting firms, NGOs, and research institutes
  • Flexible online delivery combining asynchronous lectures with synchronous tutorials, enabling study from anywhere in the world

Curriculum and Modules

The MSc DSSB Online program is composed of foundational lectures, specialized modules, tutorials, and asynchronous activities, culminating in a master thesis. The program is partitioned into three main areas — Core, Methods, and Foundation — plus the master thesis, with all credit points based on the ECTS system.

Digital Societies and Social Data Science

7.5 ECTS

Examines the machine-social context and the changes and challenges that new information technologies impose on today's and future firms, economies, and societies.

Data Analytics and Statistical Modeling

7.5 ECTS

Develops cutting-edge analytical and quantitative skills to correctly model and interpret scientific results, make valid predictions, and derive conclusions for social and business problems.

Machine Learning for Social and Business Applications

7.5 ECTS

Covers advanced machine learning techniques applied to real-world social science and business contexts, including predictive modeling and pattern recognition in large datasets.

Big Data Management and Visualization

7.5 ECTS

Teaches students to manage big data, develop statistical models, and convincingly present findings to both science and non-science audiences through effective data visualization.

Computational Social Science

7.5 ECTS

Explores computational approaches to studying social phenomena, combining social science theory with data-driven methods to analyze digital behavioral data and online interactions.

Master Thesis

30 ECTS

An independent research project conducted in close collaboration with research, institutional, or industry partners, allowing students to apply their acquired skills to a real-world data science challenge.

Elective Specialization Tracks

Society and Business Track (Computational Social Science, Smart City Concepts, Supply Chain Finance) Business Analytics Track (Business Management, Predictive Modeling, Digital Marketing) Data Science Methods Track (Advanced Machine Learning, Natural Language Processing, Network Analysis) Public Big Data Challenges (Elective in 4th Semester)

Admission Requirements

Admission to the DSSB Online program at Constructor University is selective and based on a candidate's academic achievements, recommendations, and self-presentation. The program welcomes students from diverse backgrounds including social sciences, humanities, natural sciences, and other areas with a quantitative orientation.

Academic Requirements

  • Prior DegreeCompleted Bachelor's degree (BA or BSc) in social sciences, business, economics, political science, psychology, sociology, or related fields
  • Academic RecordStrong undergraduate GPA demonstrating exceptional academic achievement
  • BackgroundStrong background in social sciences or quantitative orientation; students from humanities and natural sciences are also welcome
  • MotivationDemonstrated interest in working in interdisciplinary, international, and innovative research fields
  • Application FeeNo application fee required

Language Requirements

  • TOEFLMinimum score of 90
  • IELTSMinimum score of 6.5
  • Duolingo English TestMinimum score of 110

Required Documents

Bachelor's degree certificate or provisional certificate Complete university transcripts with grading system explanation Motivation statement (1 page explaining your choice and goals) Curriculum vitae (CV) in English, clearly structured (1-2 pages) Recommendation letter from a professor, supervisor, or employer

Application Deadlines

Early Action
Rolling Admissions (Visa Required)
Rolling Admissions (No Visa Required)

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

Constructor University offers a generous scholarship program to help make your education affordable. All admitted students are automatically considered for merit-based scholarships — no separate application is required. Students are informed about their scholarship amount immediately following admission.

Academic Achievement Scholarship

Up to EUR 10,000 per academic year

Awarded based on your bachelor's GPA. EU and EFTA students are eligible for a minimum guaranteed scholarship of EUR 4,000. The maximum scholarship amount of up to EUR 10,000 is available irrespective of nationality. No separate application is required.

Tuition Deferral Program

Varies (personalized financing)

An innovative financing option calculated automatically after admission. You only begin repaying deferred tuition fees once you have successfully entered the job market, with a flexible repayment plan based on your future income and personal circumstances.

External Partner Scholarships

Varies by sponsor

Depending on availability, additional scholarships sponsored by external partners such as the BLG Logistics Group, Fritz Hollweg Foundation, and Conrad Naber Foundation are offered to highly motivated students. Contact Uni4Edu for current availability.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Data scientists with a focus on business and social sciences face manifold career options, with significant and growing demand for their expertise. Graduates can work across tech firms, consulting companies, NGOs, international organizations, retail, e-commerce, telecommunications, finance, automotive, health industries, public administration, and academia.

90% Graduation Rate
110+ Countries Represented
4,500+ Constructor University Alumni Worldwide

Potential Career Roles

Data Scientist / Big Data Scientist AI Research Scientist Business Intelligence Analyst Computational Social Scientist Financial Analyst / Market Researcher Data Protection Specialist / Data Management Expert

Sectors and Employers Hiring DSSB Graduates

Leading Technology Companies Management Consulting Firms International Organizations (World Bank, EU, UN, WHO) Financial Services and Banking Institutions Research Institutes and Universities NGOs and Public Administration

Rankings and Recognition

Constructor University, formerly Jacobs University Bremen, is a private English-speaking research university founded in 2001 and located in Bremen, Germany. It is recognized for its interdisciplinary approach, exceptional internationality, and strong research output, consistently appearing in major global university rankings.

THE World University Rankings
401–500
2024
THE Young University Rankings
Top 10%
2024
QS Sustainability Rankings
#969
2026
CHE University Ranking
Top Group (multiple categories)
2025
SubjectRanking BodyRank
Teaching QualityCHE Ranking1st Place in Germany (2021)
InternationalityCHE Ranking1st Place in Germany (2021)
Small Universities WorldwideTHE Rankings3rd (under 2,000 students)
Popularity Among International ResearchersAlexander von Humboldt Foundation7th in Germany

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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