Geo-information science and earth observation (GEO) is all about collecting, processing, analyzing, visualizing and organizing data representing the location, size and shape of objects on our planet. This data is generally referred to as spatial information. Geo-information science allows for this generally complex data to be presented and organized in highly accessible forms (such as apps for smart phones and other mobile devices, spatial data infrastructures, maps), making the underlying story that much easier to tell and sell.

ACADEMIC LEVEL AND BACKGROUND 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. DOCUMENTATION The faculty accepts transcripts, degrees, and diplomas in the following 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. ENGLISH LANGUAGE (MINIMUM) REQUIREMENTS British Council / IELTS 6.0 (with a minimum sub-score of 6.0 for speaking and writing) TOEFL Paper-based Test (PBT) 550 TOEFL: Internet-based 80 (with a minimum sub-score of 20 for speaking) Cambridge C2 Proficiency / C1 Advanced If you are a national of one of the countries in this list (PDF), you are exempted from an English language test. Please note the requirements when applying for fellowships may vary according to the regulations of the fellowship provider. COMPUTER SKILLS Participants are expected to be familiar with the basic computer skills. Basic knowledge of and skills in working with GIS and/or remotely sensed data is strongly recommended.