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Data Science● OpenMastersPreview

Data Analytics (MSc)

A comprehensive Master's programme in modern data science, machine learning, and big data technologies.

Best for:Best for students with a strong background in computer science, mathematics, or statistics seeking a research-oriented career in data analytics.

University of Hildesheim · Hildesheim, Germany · R1 · First-stage researcher
More professors at University of Hildesheim
Machine LearningBig Data AnalyticsStatistical AnalysisData PrivacyOptimization TechniquesNatural Language Processing
This is a masters position — not a PhD studentship.
Deadline
Register by 15 February 2027 + 3 more
Funding
—
None (tuition-free; semester contribution of approx. 470 EUR)
Start date
Winter or Summer semester
Location
Hildesheim
Germany

Overview

The international Master's programme in Data Analytics at the University of Hildesheim provides rigorous training in state-of-the-art machine learning, big data technologies, and statistical analysis. Students gain deep expertise in analytical methods and practical skills to model complex systems across diverse sectors such as business, computer science, and environmental studies. The curriculum integrates theoretical foundations with industry-oriented applications, including a year-long research project and specialized methodological modules. Graduates are prepared to address real-world challenges through an interdisciplinary approach that combines core data science training with specific application domains.

Data ScienceMachine LearningBig DataStatisticsProgrammingData AnalyticsMSc

What you'll do

  • Complete core modules in machine learning, big data analytics, and optimization techniques.
  • Conduct an independent, year-long research project under faculty supervision.
  • Apply analytical methods to interdisciplinary domains such as business, psychology, or climate science.
  • Develop and implement complex data models using advanced programming skills.
  • Participate in seminars and lab courses focused on distributed data analytics and data privacy.
  • Author a Master's thesis in the final semester demonstrating mastery of the field.

Requirements

Degree required: Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related field.

Degree offered: MSc

Language: English; B2 level (e.g., IELTS 6.0 or TOEFL iBT 61).

Instruction: English

Required skills
  • Strong analytical and mathematical foundation.
  • Proficiency in statistical analysis.
  • Demonstrable programming skills.
  • English language proficiency at B2 level or higher.
Nice to have
Prior research experience in data analytics.Prior practical experience in data analytics.Coursework equivalent to core modules for the Advanced Track.
Eligibility
  • Bachelor's degree in a relevant quantitative field.
  • Admission is competitive and based on Bachelor's GPA, relevant coursework, and prior research/practical experience.

Funding & terms

Type
Unknown
Amount
None (tuition-free; semester contribution of approx. 470 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
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants must submit their application through the official university portal. Deadlines vary by semester and applicant origin (EU vs. non-EU).

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Information Systems and Machine Learning Lab (ISMLL)
University of Hildesheim
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.