Data Science for Society and Business

Constructor University

Bremen, Germany

full-time

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Degree

Master of Science

Language

English

Tuition

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Duration

4 semesters

Programme Overview

A 2-year (4-semester) online Master of Science in Data Science for Society and Business at Constructor University (formerly Jacobs University Bremen), a private English-medium international university in Bremen, Germany. The programme applies computational tools and data science methods to analyse social, business, environmental, economic, and political phenomena. Students develop expertise in computational social science, machine learning, statistical modelling, and data engineering, with applications in business analytics, public policy, sustainability, and social media. The programme is delivered entirely online, making it accessible to students worldwide while granting a German-accredited Master's degree.

Admission Requirements

Academic requirements: Deadline: Application due by 15 July
Minimum GPA: No minimum GPA threshold stated. Constructor University evaluates applicants holistically; a strong academic record in a relevant field is expected. Contact admissions at admissions@constructor.university for details.
English requirements: English proficiency required. Accepted proofs: TOEFL iBT minimum 90, IELTS Academic minimum 6.5, or equivalent. Native speakers and applicants who completed their bachelor's degree in English may be exempt. Contact Constructor University admissions for current accepted certificates.

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Accepted bachelor fields

Bachelor's degree in social sciences, economics, political science, psychology, computer science, mathematics, statistics, or a closely related field. Some technical background in programming or quantitative methods is advantageous. Contact Constructor University admissions for subject-specific requirements.

APS Certificate

required

Mandatory internship

Costs & Funding

Tuition fee: Contact university
Semester contribution: Approx. 330 EUR per semester, which includes public transportation* *Does not apply to online degree programmes
ECTS credits: 120
Funding info: Semester contribution: Approx. 330 EUR per semester, which includes public transportation* *Does not apply to online degree programmes

Career Outcomes

Graduates pursue careers as data scientists, business analysts, computational social scientists, policy analysts, and data engineers in consultancies, technology companies, financial services, public policy institutions, NGOs, and academic research. The interdisciplinary profile distinguishes graduates from purely technical data science programmes.

Typical job roles

Data ScientistBusiness Intelligence AnalystComputational Social ScientistPolicy Data AnalystMachine Learning EngineerResearch Scientist (Data Science)

Target industries

Technology and SoftwareFinancial Services and FinTechConsulting and Professional ServicesPublic Policy and GovernmentNon-Profit and Social ImpactAcademia and ResearchMedia and Social Networks

Programme details

Degree: Master of Science
Language: English
Duration: 4 semesters
Mode: full-time
Start: Winter semester
Deadline: ~1 July (check website)

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External links

View on DAAD Application portal