Language
This program will be in English. Dit programma is alleen in het Engels.
Summary
Big geospatial data play an important role in today’s societal major challenges: in improving agricultural practices to enhance sustainable crop production, monitoring air pollution in urban areas, inventing water scarcity solutions, or designing smart-city infrastructure through the use of more efficient public transport facilities. It is a matter of capturing, classifying, analysing, processing, and visualising the data to be able to apply it in order to tackle these local and global challenges. The specialisation in Geoinformatics teaches you to develop algorithms, models, and tools to process geo-information into actionable insights.
Learning outcomes
Main topics
- Compulsory courses: 1) GIS & Remote Sensing for Geospatial Solutions; 2) Geospatial Data: Concepts, Acquisition and Management; 3) Geospatial Analysis and Interpretation, 4) Global Challenges, Local Action; 5) Academic Skills
- Specialization courses: 1) Scientific Geocomputing, 2) Acquisition and Exploration of Geospatial Data, 3) Extraction, Analysis, and Dissemination of Geospatial Information, 4) Integrated Geospatial Workflows, 5) Image Analysis
Learning outcomes:
Knowledge:
- You have a solid knowledge of the core geospatial methodologies (e.g., processing remote sensing imagery and modelling geospatial processes);
- You have a solid knowledge of the core geospatial technologies (e.g., remote sensor networks, distributed storage and computing, web mapping and applications);
- You know how to evaluate the quality of data and solutions you have developed in the context of the intended use.
Skills:
- You can develop reproducible algorithmic solutions for complex workflows and implement them using Python or R;
- You can choose appropriate methods and designs and realise relevant techniques for solving a geospatial problem using state-of-art technologies like deep learning;
- You can communicate findings of geospatial analysis and their implications to policymakers, scientists, technologists, and users.
Values:
- You contribute to a better world through scientifically sound solutions built on state-of-the-art technologies;
- You maintain a critical attitude towards technological innovation and its added value to society;
- You use geospatial data and science in an ethical way.
Entry requirements
Applicants for the Master’s Programme Geo-Information Science and Earth Observation (MSc) should have a Bachelor’s degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.
The following average scores apply to the Master’s programme:
- A 3.0 or higher Cumulative Grade Point Average (CGPA) on a 4.0 scale, or
- Upper Second Class standing or higher
NOTE: a Lower Second Class standing may be accepted based on evidence of relevant professional experience and/or other further academic development.
Who is this offered to?
To (international) students who want to achieve a MSc degree in GIS and EA, with a specialization geoinformatics