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Econometrics● OpenMastersPreview

Master of Science in Econometrics

A joint two-year Master's programme in Econometrics offered by TU Dortmund University, Ruhr University Bochum, and the University of Duisburg-Essen.

Best for:Best for quantitatively oriented students with a strong foundation in mathematics and statistics seeking a career in economic research or data analysis.

TU Dortmund University · Dortmund, Germany · R1 · First-stage researcher
More professors at TU Dortmund University
Statistical TheoryTime Series AnalysisApplied Economic ResearchFinancial EconometricsHealth Economics
This is a masters position — not a PhD studentship.
Deadline
Applicants with a last relevant educational qualification from countries outside the European Union should note additional regulations and terms concerning the certification/verification of degree certificates and the enrolment at German universities. Application periods: Winter semester: January until 15 May Summer semester: November until 15 January For applicants with a qualification from a member state of the European Union, the applicable period is the same as for "educational residents" (the last Friday before the start of the lecture period).
Funding
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No tuition fees; semester contribution of approx. 300-350 EUR.
Start date
Winter or Summer semester
Full-time
Location
Dortmund
Germany

Overview

The Master of Science in Econometrics is a quantitatively rigorous programme designed for students with a background in economics, statistics, or mathematics. Jointly offered by three universities in the Ruhr area, the curriculum focuses on statistical theory, time series analysis, and applied economic research. Students gain the skills to develop mathematical models for analyzing complex problems in business, government, and research institutions. The programme offers a flexible structure with core modules and a wide range of electives, culminating in a six-month Master's thesis.

EconometricsStatisticsEconomicsMathematicsQuantitative AnalysisMaster of Science

What you'll do

  • Complete five core modules covering statistical theory and econometric methods.
  • Select four elective modules to specialize in areas such as financial econometrics or health economics.
  • Conduct independent research for a six-month Master's thesis.
  • Participate in project management and applied research training.
  • Engage in optional internships or study abroad opportunities via ERASMUS.

Requirements

Degree required: BSc in Statistics, Economics, Mathematics, or a related field with at least 180 ECTS.

Degree offered: Master of Science

Language: English (B2 level required).

Instruction: English

Required skills
  • At least 15 ECTS in economics.
  • At least 25 ECTS in mathematics or statistics.
  • Strong proficiency in mathematics and statistics (minimum average grade of 3.0).
  • English language proficiency at B2 level (e.g., IELTS 5.5).
Nice to have
Prior experience in applied research.Familiarity with economic modeling software.
Eligibility
  • Must hold a relevant undergraduate degree with a final grade of 'good' (2.7) or better.
  • Non-EU applicants must adhere to specific degree verification and enrollment regulations.

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approx. 300-350 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

Applicants must submit their documents through the university's online portal. The application must include a degree certificate, transcript of records, an essay describing academic background, a school-leaving certificate, and proof of an online self-assessment.

Documents required
  • Degree certificate
  • Transcript of records
  • Academic essay
  • School-leaving certificate
  • Online self-assessment certificate
  • English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Department of Statistics
TU Dortmund University
Germany
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