PhD Monitor
/Detail
Economics● OpenMastersPreview

Master of Science in Economics with Data Science

A comprehensive Master's programme integrating economic theory with advanced data science and AI methodologies.

Best for:Best for students with a background in economics or related fields seeking to specialize in data-driven economic analysis and AI.

University of Hohenheim · Stuttgart, Germany · R1 · First-stage researcher
More professors at University of Hohenheim
Computational EconomicsMachine Learning for EconomistsCausal InferenceAlgorithmic Game TheoryEconomic ForecastingBig Data Infrastructure
This is a masters position — not a PhD studentship.
Deadline
Register by 15 May 2027
Funding
—
Semester contribution of approx. 175 EUR
Start date
Winter semester
Full-time
Location
Stuttgart
Germany

Overview

The Master of Science in Economics with Data Science at the University of Hohenheim is a four-semester full-time programme designed to bridge the gap between economic theory and modern analytical technologies. Students gain a robust foundation in microeconomics, macroeconomics, and econometrics while mastering cutting-edge tools in machine learning and artificial intelligence. The curriculum emphasizes the practical application of these methods to real-world economic challenges, including data-driven forecasting and model simulation. Graduates are prepared for dynamic careers that require both deep economic insight and advanced technical proficiency in data analysis.

EconomicsData ScienceArtificial IntelligenceEconometricsQuantitative AnalysisMaster of Science

What you'll do

  • Complete five core compulsory modules covering economic theory and data science foundations.
  • Select elective courses to tailor the academic profile toward specific interests in economics or AI.
  • Participate in empirical research modules involving applied data science projects.
  • Present research findings through scientific posters and oral presentations.
  • Conduct an independent Master's thesis applying advanced analytical methods to complex economic questions.

Requirements

Degree required: Bachelor's degree in Economics or a closely related field

Degree offered: Master of Science

Language: English; B2 level (e.g., TOEFL iBT 90, IELTS Academic 6.0)

Instruction: English

Required skills
  • Strong foundation in mathematics and statistics
  • Proficiency in probability theory and econometrics
  • Demonstrated interest in economic thinking and applications
  • English language proficiency at B2 level or higher
Nice to have
Prior experience with statistical or programming tools such as R or Python
Eligibility
  • Hold a recognized Bachelor's degree in Economics or a related discipline

Funding & terms

Type
Unknown
Amount
Semester contribution of approx. 175 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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2025-05-15

Applications must be submitted through the official university portal. Prospective students should ensure they meet the English language requirements and provide all necessary academic documentation by the May 15th deadline.

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

Contact

Lab
Faculty of Business, Economics and Social Sciences
University of Hohenheim
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.