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Geospatial Engineering● OpenMastersPreview

Master of Science in Geomatics for the Built Environment

A multidisciplinary master’s programme combining remote sensing, GIS, and spatial data science to solve real-world challenges in urban and environmental management.

Best for:Best for students with a background in geography, civil engineering, environmental science, or computer science who seek to specialise in spatial data analysis, remote sensing, and geospatial technologies for urban and environmental applications.

Delft University of Technology · Delft, Netherlands
More professors at Delft University of Technology
Remote sensing and spatial data acquisitionGeographic information systems (GIS)3D modelling and urban simulationDisaster management and risk assessmentEnergy efficiency and sustainability planningLocation-based services and land administration
This is a masters position — not a PhD studentship.
Deadline
Apr 1, 2027
165 days
Funding
—
2 years
Start date
Flexible (typically aligned with academic calendar)
Full-time
Location
Delft
Netherlands

Overview

The Master of Science in Geomatics at Delft University of Technology focuses on the acquisition, analysis, and visualisation of geographic data to address complex problems in built and natural environments. Students will master advanced techniques in remote sensing, spatial modelling, and data-driven decision-making, applying skills in 3D modelling, GIS, and simulation to fields like disaster management, energy efficiency, and urban planning. The programme emphasises hands-on experience with tools such as Esri’s CityEngine and real-time mapping, preparing graduates to innovate in sectors ranging from land administration to location-based services. Research projects often involve predictive modelling, pattern recognition, and the integration of big data to forecast environmental and urban dynamics. This programme is ideal for those passionate about leveraging technology to create sustainable and data-informed solutions.

GeomaticsGIS and remote sensingSpatial data analysisUrban planningEnvironmental monitoring3D modellingData visualisationSustainable infrastructure

What you'll do

  • Develop and apply advanced techniques in remote sensing to collect and analyse geographic data for built and natural environments.
  • Design and implement spatial information models using GIS and 3D modelling tools like Esri’s CityEngine.
  • Conduct data-driven research to identify patterns, track behaviour over time, and predict future environmental and urban states.
  • Collaborate on interdisciplinary projects addressing real-world challenges such as disaster management, energy efficiency, and land administration.
  • Utilise simulation and visualisation tools to communicate findings and support decision-making processes.
  • Engage in hands-on research projects that integrate big data, machine learning, and spatial analysis.
  • Develop innovative solutions for location-based services, geodesign, and sustainable urban development.

Requirements

Degree required: Bachelor’s degree in Geography, Civil Engineering, Environmental Science, Geomatics, or a related field.

Degree offered: Master of Science (MSc)

Language: English; IELTS overall band score of 6.5 or TOEFL internet-based score of 90.

Instruction: English

Required skills
  • Proficiency in geographic information systems (GIS) software (e.g., ArcGIS, QGIS).
  • Experience with remote sensing techniques and tools.
  • Basic knowledge of programming (e.g., Python, R) for data analysis.
  • Strong analytical and problem-solving skills.
  • Ability to work with large datasets and perform spatial data modelling.
Nice to have
Experience with 3D modelling software (e.g., CityEngine, Blender).Familiarity with machine learning or statistical analysis for spatial data.Knowledge of urban planning principles and sustainability practices.Experience with real-time mapping or geospatial databases.
Eligibility
  • No specific nationality restrictions; open to international applicants.
  • No prior work experience required.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
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
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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How to apply

Deadline: 2027-04-01

Applicants must submit their application through the official Delft University of Technology portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency (IELTS/TOEFL), and a portfolio or research proposal if applicable. Additional documents may be requested based on the programme’s requirements.

Documents required
  • CV
  • Motivation letter
  • Academic transcripts (Bachelor’s degree)
  • Proof of English proficiency (IELTS or TOEFL)
  • Portfolio or research proposal (if applicable)
↗Check programme and admissions

Contact

Lab
Geomatics Group
Delft University of Technology
Netherlands
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.