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Data Analytics and Operations Research● OpenMastersPreview

MSc Data Analytics and Decision Science (DDS)

A full-time Master of Science programme at the intersection of data analytics, machine learning, and operations research.

Best for:Best for STEM graduates with quantitative backgrounds seeking to build careers in data analytics, machine learning, and operational decision-making.

RWTH Aachen University · Aachen, Germany · R1 · First-stage researcher
More professors at RWTH Aachen University
Machine LearningMathematical OptimizationHeuristic AlgorithmsOperations ResearchBusiness Analytics
This is a masters position — not a PhD studentship.
Deadline
Non-EU: The official application deadline for Master's programmes for non-EU applicants is 1 March. Additional applications via the subsequent allocation process are welcome and will be reviewed, subject to remaining capacity, until 1 June. EU/EEA: Applicants from an EU/EEA country can apply until 31 August.
Funding
Scholarship
€7.5k
Start date
Winter semester
Full-time
Location
Aachen
Germany

Overview

The Master of Science in Data Analytics and Decision Science (DDS) at RWTH Aachen University is a four-semester, full-time programme designed for students with a STEM background. Offered through the RWTH Business School, the curriculum bridges data analytics and operations research by integrating mathematical optimization, machine learning, and heuristic algorithms. Students engage in practice-oriented modules, real-world case studies, and a mandatory industry internship to develop practical business value from complex data. The programme prepares graduates for diverse data-driven careers across modern industries.

Data AnalyticsDecision ScienceOperations ResearchMachine LearningSTEMRWTH Aachen

What you'll do

  • Complete rigorous coursework in core data analytics and decision science subjects across four semesters
  • Engage in practice-oriented modules and solve real-world case studies provided by industry partners
  • Fulfill a mandatory industry work placement or internship during the third semester
  • Participate in elective modules to specialize in sectors such as energy, healthcare, or management
  • Collaborate in interdisciplinary teams on applied projects linking research and business

Requirements

Degree required: Bachelor of Engineering or Bachelor of Science degree in a STEM field

Degree offered: Master of Science

Language: English; B2 required (e.g., TOEFL iBT 90, IELTS Academic 6.0, Cambridge B2 First, or PTE Academic 60)

Instruction: English

Required skills
  • Minimum of 125 credit points in mathematics and/or natural sciences or computer science
  • Minimum of 15 credit points in higher mathematics, statistics, database systems, programming, algorithms, complexity theory, or operations research
  • At least 12 months of professional work experience
Nice to have
Prior experience in data analysis or quantitative modelingFamiliarity with business applications of machine learning
Eligibility
  • Open to applicants worldwide fulfilling academic and language requirements

Funding & terms

Type
Scholarship
Amount
€7.5k
Duration
4 semesters
Programme
RWTH Business School
RWTH Business School

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
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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

Deadline: 2026-03-01

Applicants must submit their applications through the official application portal by the specified deadline depending on their country of citizenship. Ensure all required academic transcripts, language certificates, and proof of work experience are uploaded correctly.

Documents required
  • BSc degree certificate and transcripts
  • Proof of professional work experience
  • English language certificate
  • CV
↗Check programme and admissions

Contact

Lab
RWTH Business School
RWTH Aachen University
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.