OpenField
Germany · Master's · Reviewed 2026-10-15

Master of Science in Data Science and Machine Learning

English-taught master's curriculum covering deep learning, statistical inference, distributed stream computing, and scalable big data algorithms at Campus Griebnitzsee.

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, Mathematics, or closely related field with 2.5 German grade or better
English language proficiency
IELTS 6.5 overall with 6.0 in each band
Standardized testing (GRE/GMAT)
Optional
Thesis / Research statement
Proof of extensive coursework in linear algebra, algorithms, and probability
Recommendation letters
Two academic referee contacts

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

Financial support / stipend
Paid student research assistant (HiWi) positions paying €13.50–€17.00 per hour
Application fee
€0
Tuition / joining costs
€0 (Only €316 semester contribution including public transit)

Dates and verification

Application deadline
February 15, 2027
Last source review
2026-10-15

Important verification note

Facts reflect official University of Potsdam documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.

Reviewed 2026-10-15 · Editorial standards · Report an issue