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University of Siegen

Siegen, North Rhine-Westphalia, Germany

Master of Science (M.Sc.) in Business and Health Analytics

Original title: Business and Health Analytics Master of Science (M.Sc.)

German / English4 semestersNo Tuition / Semester Fee OnlyNorth Rhine-Westphalia

Gain essential skills in business and health analytics, including data science, machine learning, and ethical data management to pursue a variety of careers in a digitalized economy.

Overview

Why this program?

English-friendly instruction
No tuition fees or semester-fee only
On Campus
Business & Economics
Bilingual instruction in German and English
Master of Science (M.Sc.) in Business and Health Analytics

Program summary

Good fit, outcomes, and skills

Best for

Students aiming for analytics roles in business or health industries in a digital economy.

Career outcomes

  • Business Analyst
  • Health Data Analyst
  • Data Scientist
  • Operations Manager
  • Technology Consultant

Skills you will learn

  • Data analysis and visualization
  • Machine learning techniques
  • Ethical data handling practices
  • Technology management
  • Operations research methods

Admissions

Requirements at a glance

Admission typeRestricted Admission
RequirementsBachelor's degree in economics, computer science or mathematics or comparable field with at least 90 ECTS credits; minimum 12 ECTS credits in technology management and/or operations research; English language proficiency at B2 level
DeadlineWinter semester: 1 April - 30 September; Summer semester: 1 October - 31 March
LanguageGerman / English
Free orientation

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Tuition & costs

What to budget for

TuitionNo Tuition / Semester Fee Only
FeesSemester fee may apply
Living costsApprox. EUR 850-1,200/month

Careers

Where this can lead

Business Analyst
Health Data Analyst
Data Scientist
Operations Manager
Technology Consultant

University

University of Siegen

University of Siegen is located in Siegen, North Rhine-Westphalia, Germany. Open the official program page for the latest application details, deadlines, and documents.

Program data is collected from public university sources and may be incomplete or outdated. Always verify deadlines, fees, and admission requirements on the official university website.

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