OpenFieldUni Hildesheim Master of Science in Data Analytics
Rigorous international English-taught master's covering advanced machine learning algorithms, deep neural architectures, and distributed streaming data systems.
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 physics with above-average GPA
- English language proficiency
- IELTS 6.5 overall (minimum 6.0 in each component) or TOEFL iBT 80
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Curriculum vitae and 750-word statement on machine learning project experiences
- Recommendation letters
- Two academic referee letters
How much will it cost? How much funding is available?
- Financial support / stipend
- DAAD EPOS and Hilde Domin scholarship eligible (€934/month allowance)
- Application fee
- €390 semester fee (includes statewide Lower Saxony railway ticket)
- Tuition / joining costs
- Tuition-free public university program
Dates and verification
- Application deadline
- January 15, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official University of Hildesheim (Stiftung Universität Hildesheim) 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