Economics with Data Science

An English-language master's programme combining economics with data-driven analysis, machine learning, and AI applications in research and practice. It links current theoretical and empirical economics research with data-science methods and flexible specialization options.

Academic requirements

Prior exposure to statistical or programming tools (e.g., R, Python) is helpful but not required. An intrinsic interest in economic thinking, questions, and applications.

Minimum GPA

Final grade of 2.5 or better on the German grading scale.

English requirements

TOEFL iBT 90, IELTS 6.0, or UNIcert II with grade 'good'.

Accepted bachelor fields

Bachelor's degree in business and economic sciences or a related subject with a standard period of study of at least 3 years and a final grade of 2.5 or better.

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None for EU/EEA students; 1,500 EUR per semester for newly enrolled non-EU/EEA international students under Baden-Wuerttemberg tuition-fee rules.

Semester contribution

174.50 EUR semester contribution (University of Hohenheim, summer semester 2026 official amount).

ECTS credits

120

Funding info

Tuition: None for EU/EEA students; 1,500 EUR per semester for newly enrolled non-EU/EEA international students under Baden-Wuerttemberg tuition-fee rules. Semester contribution: 174.50 EUR semester contribution (University of Hohenheim, summer semester 2026 official amount).

Graduates are prepared for research-oriented and data-driven economics careers that combine quantitative analysis, machine learning, and economic decision support in academia, industry, and policy contexts.

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