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Geoinformatics● OpenMastersPreview

Geoinformatics and Spatial Data Science (MSc)

A comprehensive Master's programme focused on advanced spatial data analysis, machine learning, and geoinformatics.

Best for:Best for students with a Bachelor's degree in Geoinformatics, Computer Science, or Data Science seeking advanced training in spatial analysis.

University of Münster · Münster, Germany · R1 · First-stage researcher
More professors at University of Münster
Spatial Data ScienceMachine LearningRemote SensingSpatial ComputingDigital TwinsSpatial Cognition
This is a masters position — not a PhD studentship.
Deadline
Register by 15 January 2027 + 3 more
Funding
—
No tuition fees; semester contribution of approx. 355 EUR per semester.
Start date
Winter or Summer semester
Full-time
Location
Münster
Germany

Overview

The Master of Science in Geoinformatics and Spatial Data Science at the University of Münster is a full-time, four-semester programme designed for students with a background in geoinformatics, computer science, or related fields. Students engage with advanced topics such as machine learning for spatio-temporal data, remote sensing, spatial computing, and digital twins. The curriculum balances theoretical coursework with practical research projects and an integrated internship or exchange semester. Graduates are prepared for professional roles in industry or academia, equipped with the technical expertise to address complex spatial challenges.

GeoinformaticsSpatial Data ScienceGISSpatio-temporal AnalysisComputer VisionLocation-based Services

What you'll do

  • Complete 120 ECTS credit points across eight modules including spatial data science and machine learning.
  • Participate in interdisciplinary research projects using emerging geospatial technologies.
  • Undertake an internship in industry, government, or research during the third semester.
  • Conduct an independent Master's thesis in the final semester to specialize in a chosen area.
  • Engage in collaborative work involving spatial computing, 3D modeling, and remote sensing.

Requirements

Degree required: BSc in Geoinformatics or equivalent degree with substantial coursework in computer science, data science, or geosciences.

Degree offered: MSc

Language: English; B2 level required (e.g., IELTS Academic 6.5)

Instruction: English

Required skills
  • Proficiency in English (B2 level or equivalent, e.g., IELTS 6.5)
  • Foundational knowledge in geoinformatics or geospatial technologies
  • Academic background in computer science or data science
Nice to have
Experience with R or Python for spatial analysisPractical experience with remote sensing or UAV technologiesFamiliarity with spatial databases or GIS software
Eligibility
  • Hold a Bachelor's degree in a relevant field
  • Meet specific application deadlines based on EU/non-EU status

Funding & terms

Type
Unknown
Amount
No tuition fees; semester contribution of approx. 355 EUR per semester.
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

Deadline: 2025-05-31

Applications must be submitted via the official programme portal. Applicants should check the specific deadlines for EU and non-EU citizens for the respective winter or summer intake.

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

Contact

Lab
Institute for Geoinformatics (ifgi)
University of Münster
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.