OpenField
Germany · Master's · Reviewed 2026-10-14

Uni Göttingen Master of Science (MSc) in Applied Data Science (English-taught)

Two-year English-taught Master's degree combining scalable machine learning, statistical inference, data privacy, and applied domain specializations in bioinformatics or digital humanities.

Official university details ↗Research checked, not sponsored

Application checklist & requirements

These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.

Academic degree / Prerequisites
Bachelor's degree in Computer Science, Data Science, Mathematics, or a quantitative domain with at least 60 ECTS in informatics/statistics.
English language proficiency
Academic IELTS 6.5 overall or TOEFL iBT 90.
Standardized testing (GRE/GMAT)
Not required.
Thesis / Research statement
Programming skills in Python/R and multivariable calculus preparation.
Recommendation letters
Academic curriculum vitae and transcript.

How much will it cost? How much funding is available?

Financial support / stipend
Tuition-free program; Lower Saxony state merit grants and student assistantships available
Application fee
€0 application fee
Tuition / joining costs
€0 tuition fees; nominal €390 semester social fee.

Dates and verification

Application deadline
January 15, 2027 (Non-EU international applicant deadline for Fall intake)
Last source review
2026-10-14

Important verification note

Facts reflect official University of Göttingen documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.

Reviewed 2026-10-14 · Editorial standards · Report an issue