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This programme takes an application-oriented approach to collecting, processing, analyzing and visualizing spatial data. Graduates are at the forefront of one of today’s fastest growing industries.

The Master’s programme Spatial Engineering prepares you to address major multi-level spatial problems with a combination of technical and socio-economic knowledge.

This one-of-a-kind, multidisciplinary, English-taught programme integrates social and technical perspectives in a new approach that educates tomorrow’s engineers at Honours level.

Develop technologies required for analyzing, distributing and visualizing geo-spatial data.

This ten-week course focuses on solving problems within a specific application field.

Cartography is an Erasmus Mundus Master of Science programme of four universities in München, Wien, Dresden and Enschede. It focusses on a broad education in cartography and geoinformatics.

The coursework emphasizes on concepts and processes that are used for the production, storage, analysis, visualisation and dissemination of spatial data and geo-information.

The coursework emphasises on concepts and processes that are used for the production, storage, analysis, visualization and dissemination of spatial data and geo-information.

Learn to apply geo-information science and earth observation in your field of interest, analyse problems and apply new methods and techniques, and manage (multi)disciplinary scientific teams.

A high quality Master’s through e-learning with focus on Geographic Information Systems and Earth Observation for environmental modeling and natural resource management.

This Master’s programme aims to educate students and professionals to become all-round managers and/or researchers in the field of geo-information.

This course seamlessly blends cartographic fundamentals with the developments in modern geo-visualization techniques.

This course introduces Geo-Information Science and Remote Sensing in a context of geospatial problem-solving.

This course provides the basic theoretical knowledge and hands-on experience required to perceive the synergy within this multidisciplinary production environment.

The course explains how to conduct a risk assessment using spatial information on hazards, elements at risk and vulnerability with the aid of GIS and remote sensing.

This course introduces you to databases and data manipulation. The course focuses on thematic (also known as attribute) databases, the relational data model, and queries in the query language SQL.

Provides technical competencies to extract elevation models, urban constructions, legal boundaries, for application in domains like cadastral land management and modelling of food security and water.

In this course, you will explore how GIS, models and spatial decision support systems can be used to help to identify and structure the problem(s), find and compare possible solutions.

This course introduces you to techniques for selecting and processing data to generate meaningful and timely information to support the better management of resources.