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Computer Science● OpenMastersPreview

MSc Data Science (Research Master's)

An innovative project-based Master's programme training applied data science researchers and engineers.

Best for:Best for quantitative graduates in computer science or mathematics seeking rigorous applied research experience and publication opportunities.

Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI) · Gütersloh, Germany · R1 · First-stage researcher
More professors at Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI)
data miningmachine learninggenerative modelsbig data architecturesartificial intelligenceapplied research
This is a masters position — not a PhD studentship.
Deadline
Register by 15 January 2027 + 1 more
Funding
Unfunded
None
Start date
Winter and summer semester
Full-time
Location
Gütersloh
Germany

Overview

The Research Master's in Data Science at Hochschule Bielefeld is an immersive, project-oriented degree designed to cultivate applied researchers and industry experts. Students collaborate in interdisciplinary project teams under expert supervision to address real-world data challenges and publish findings at international conferences. The curriculum combines rigorous coursework in machine learning, big data architectures, and generative models with substantial hands-on project phases. Graduates are well-prepared for both doctoral studies and advanced professional careers in the technology sector.

Data ScienceResearch MasterMachine LearningPythonBig DataApplied Science

What you'll do

  • Conduct independent applied scientific research within structured interdisciplinary project phases
  • Design and implement machine learning algorithms for decision support systems
  • Develop and configure big data architectures for batch and stream processing
  • Build generative models for text, image, and video synthesis
  • Prepare scientific publications and present research findings at international venues
  • Apply agile project management methodologies to lead innovative project teams

Requirements

Degree required: Bachelor's degree (180 ECTS) in Computer Science, Mathematics, Statistics, or closely related engineering fields with a minimum grade average of 2.5 in the German grading system

Degree offered: Master of Science

Language: English; B2 proficiency required via recognized certificates such as IELTS 5.5, TOEFL iBT 72, or equivalent

Instruction: English

Required skills
  • Proficiency in multi-paradigmatic programming using Python and relevant machine learning libraries
  • Foundational knowledge in mathematics, statistics, and computer science
  • Ability to work collaboratively in interdisciplinary project teams
  • Competence in conducting applied research and academic writing
Nice to have
Prior experience in software engineering or data pipeline developmentFamiliarity with big data processing frameworks
Eligibility
  • Applicants from all countries holding an eligible Bachelor's degree

Funding & terms

Type
Unfunded
Amount
None
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
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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 a two-minute motivational video through the designated university portal or uni-assist. Shortlisted candidates will be invited for an interview before final admission.

Documents required
  • CV
  • Motivational video
  • BSc degree certificate and transcripts
  • English language certificate
↗Check programme and admissions

Contact

Lab
Engineering and Mathematics
Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI)
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.