Language
This program will be in English. Dit programma is alleen in het Engels.
Summary
Geo-information Systems and Science (GIS) and Earth Observation by Remote Sensing (RS) are among the main focus areas at ITC. With the help of GIS and RS we increase our understanding of processes that shape our environment, predict the possible effects of changes, and provide information to support planning and policy making. In this course you will learn the principles of GIS and RS and how to apply them in the handling and processing of geospatial data. The course will take you through the main stages of a geospatial problem solving cycle: from the identification of a geospatial problem, via the exploration and analysis of map data and RS images, to the generation of relevant geospatial information.
Learning outcomes
The course content is organized in different course components:
- Course 1 – GIS & RS for Geospatial Solutions
- Course 2 – Geospatial data: concepts, acquisition and management
- Course 3 – Geospatial analysis and interpretation
The course starts with an introduction of the geospatial problem-solving approach. Next, the main GIS and RS concepts relevant for the acquisition, management and exploration of geospatial data are considered. The course continues with a focus on the analysis of geo-data, including remote sensing images, and the generation of geo-information. This includes attention for quality aspects of the geo-data and the effect on the results of geospatial analysis. In the last two weeks of the course you will carry out a project, in which you apply the geospatial problem-solving approach to produce geo-information relevant for a specific geospatial problem issue. Throughout the course you will develop hands-on experience in using selected GIS and RS software tools (in 2021: QGIS). Course examination consists of two written tests and an individual project assignment.
Entry requirements
Academic level and background
Applicants for the Certificate programme should have a bachelor’s degree or equivalent from a recognised university in a discipline related to the course, preferably combined with working experience in a relevant field.
Some courses in the Certificate programme or separate modules require knowledge of, and skills in, working with GIS and/or digital image processing of remotely sensed data.
Skills in taught or related subjects are a prerequisite for some courses in the Certificate programme or separate modules. Even if the applicant satisfies the overall admission requirements, acceptance is not automatic.
Documentation
The faculty accepts transcripts, degrees and diplomas in the languages: Dutch, English, German, French and Spanish. It is at the discretion of the faculty to require additional English translations of all documents in other languages as well.
Language skills
Success in your studies requires a high level of English proficiency. Therefore, prospective students with an international (other than Dutch) degree must meet the English language requirement. As proof that you meet this requirement, you will be asked in the application procedure to upload one of the requested language certificates:
- IELTS (academic) with an overall band score of at least 6.0 (with a minimum sub-score of 6.0 for speaking and writing) and certificates not older than two years.
- TOEFL iBT (internet-based) with an overall score of 80 (with a minimum sub-score of 20 for speaking) and certificates not older than two years. Please note that the University of Twente does not accept the MyBest scores of the TOEFL test.
- Cambridge C1 Advanced Formerly known as; Cambridge English Advanced (CAE), obtained with an A, B or C grade.
- Cambridge C2 Proficiency Formerly known as; Cambridge English Proficiency (CPE) obtained with an A, B or C grade.
Only these internationally recognised test results are accepted. Without a valid certificate, we cannot process your application.
Who is this offered to?
The course is especially relevant for professionals (scientists and practitioners) with an academic background who deal with geospatial data but who have only a limited knowledge of the principles of GIS and earth observation in their field of application.