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Business Analytics● OpenMastersPreview

Business Analytics & Econometrics – Master of Science

A comprehensive Master's programme blending traditional econometrics with modern data science and machine learning for business applications.

Best for:Best for students with a strong quantitative background in economics, statistics, or informatics seeking to bridge the gap between data science and business strategy.

University of Cologne · Köln, Germany · R1 · First-stage researcher
More professors at University of Cologne
EconometricsMachine LearningBig Data AnalyticsDigital Business StrategyBayesian Data AnalysisDigital Entrepreneurship
This is a masters position — not a PhD studentship.
Deadline
Register by 15 June 2027
Funding
—
No tuition fees; semester contribution of approx. 320 EUR.
Start date
Winter semester
Full-time
Location
Köln
Germany

Overview

The Master of Science in Business Analytics & Econometrics at the University of Cologne provides a rigorous foundation in data-driven decision-making. Students explore a unique curriculum that integrates traditional statistical methods with modern analytical approaches like machine learning and artificial intelligence. The programme emphasizes practical application, featuring a capstone project where students collaborate with industry partners to solve real-world problems. Graduates are prepared for leadership roles in the digital economy, equipped with the skills to manage, analyze, and visualize complex datasets.

Business AnalyticsEconometricsData ScienceArtificial IntelligenceDigital TransformationStatisticsOptimization

What you'll do

  • Complete core coursework in data analytics, digitalization, and econometrics during the first year.
  • Select and pursue a specialized track in either Econometrics or Business Analytics.
  • Collaborate with corporate or public partners on a semester-long capstone project to solve real-world business challenges.
  • Apply advanced statistical and machine learning tools to analyze complex datasets.
  • Develop and present data-driven business models and digital strategies.
  • Engage in international study environments and participate in intercultural training.

Requirements

Degree required: Bachelor's degree with a minimum GPA of 2.5 (German grade).

Degree offered: Master of Science

Language: English; B2 level (e.g., TOEFL iBT, IELTS Academic 5.5, or Cambridge B2 First).

Instruction: English

Required skills
  • At least 30 ECTS in Business Administration and/or Economics.
  • At least 24 ECTS in Statistics, Mathematics, Information Systems, or Informatics (or 48 ECTS in these fields combined).
  • Proficiency in English at B2 level or higher.
  • Basic understanding of analytical and quantitative methods.
Nice to have
Experience with programming languages such as R or Python.Prior exposure to digital innovation or entrepreneurship concepts.Strong interest in data visualization and presentation.
Eligibility
  • Applicants must hold a relevant Bachelor's degree.
  • Must meet the specific ECTS credit requirements in quantitative and business subjects.

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approx. 320 EUR.
Duration
4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
Not confirmed by the source

How to apply

Deadline: 2027-06-15

Applications must be submitted through the official university portal during the designated application window. Ensure all required academic transcripts and language certificates are prepared according to the guidelines on the WiSo faculty website.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • Official English language proficiency certificate
↗Check programme and admissions

Contact

Lab
WiSo Faculty
University of Cologne
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.