Free Specialisation

Design youR very own Free specialisation. 

Why spatial data matters

We live in a data-centric world where spatial data is vital for decision-making, policy development, and the development of solutions to tackle the challenges we face. Learn how to leverage vast amounts of geospatial data to identify patterns, develop insights, and solve location-based problems using the latest technologies alongside statistics, machine learning and GeoAI methods and apply them to a specific problem situation.

Turn data into insight and action

You can use spatial data in many ways to understand where and why things happen. You will gain an understanding of the scientific field and how spatial data science skills can be applied to tackle a wide range of challenges we face today, which can range from disasters, urbanisation, health and the environment.  To this purpose, you can construct a personal pathway where you will develop the geospatial and data analysis skills that are useful for extracting information, mapping, monitoring, and modelling to suit your personal goals.

Design your own learning path

If you feel that existing specialisations and their pathways are not exactly offering you what you are looking for, it is possible to explore the combinations of courses from different specialisations. You do this together with the study adviser.

Spatial data science requires a combination of data science fundamentals, geospatial expertise, and strong analytical skills. This field integrates geographic information systems (GIS) and data science techniques to analyse spatial data, providing insights for various applications. Key requirements include proficiency in GIS software, programming languages, database management, and a solid understanding of spatial data formats and coordinate systems. You are able to acquire these skills through the compulsory programme courses and through the courses we offer across the specialisations, and with the elective courses.

You can create a personal learning pathway on top of the 25 EC of compulsory coursework in the first year. You select a minimum of 20 EC specialisation courses and add as many courses to complete the study load of the first year. If your own pathway offers a feasible programme, the programme director will approve it.

What will you learn?

As a graduate of the Master's in Geo-Information Science and Earth Observation with a specialisation in Spatial Data Science you will acquire different types of knowledge, but also specific skills and values that will enable you to contribute to GIS Innovations and be a part of the distributed geospatial infrastructure.

  • After completing this Master’s specialisation, you will:

    • develop in-depth knowledge of different data science, spatial analysis and image analysis methods
    • learn how multiscale, multitemporal, and multisource data from a variety of sensors can be leveraged
  • After successfully finishing this Master’s specialisation, you will:

    • develop the skills to capture, generate and engineer geodata following best practices
    • be able to integrate and leverage multiscale, multitemporal, and multisource data from a variety of sensors
    • analyse and interpret multi-variate datasets
  • After completing this Master’s specialisation, you will:

    • be capable of objective, independent, and critical thinking
    • recognise the role of geo-information and earth observation in providing solutions to global challenges

Master's Geo-Information Science and Earth Observation

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Other master's and specialisations

Is this specialisation not exactly what you are looking for? Maybe one of the other specialisations suits you better. You can also find out more about related Master’s at the University of Twente:

Choose your specialisation during the first quartile

Can't decide which specialisation is right for you? You don't have to decide now. You can choose your specialization during the first quartile of the programme.

Key information

Top rated programme
Degree
MSc
CROHO code
75014
Faculty
Geo-Information Science and Earth Observation
Diploma
Geo-information Science & Earth Observation
Duration
2 years
Language
100% English-taught
Application deadline
EU/EEA
1 July 2026
non EU/EEA
1 June 2026
Dutch
15 August 2026
Starting date
1 September 2026
End date
21 July 2028
ECTS
120
Tuition fees
Full period 2026 / 2027
full-time, non-EU/EEA
€ 21,700
full-time, EU/EEA
€ 21,700
Additional costs
Cost of living, year
€ 15.000
Insurance, full programme
€ 1.400
Visa, full programme
€ 270
Please note
Additional costs are subject to change, depending on the duration of your stay.