Develop technologies required for analyzing, distributing and visualizing geospatial data
Geo-spatial data is the major driver of today’s information society. Smartphones, satellites, and sensors are creating more Big Geo Data than ever. This data is used for an increasing number of scientific purposes that aim to benefit the world. It’s a matter of gathering, analyzing, distributing and visualizing the data to make it fit for specific use, e.g. in systems for improving agricultural practice or creating healthy cities. The technologies supporting these processes are at the core of geoinformatics.
Effectively acquiring and efficiently managing these amounts of data takes more than skills. It also requires keeping pace with ongoing technological developments and understanding how to interpret them. The course Advanced Geoinformatics offers you the possibility to expand your competencies and skills in advanced data acquisition and information extraction methods or focus more on the integration of state-of-the-art methods in geospatial workflows. You will learn to design and develop algorithms, models, and tools to process geo-spatial data into reliable, actionable information.
For whom is the course relevant?
This course builds on already acquired competences concerning geospatial data acquisition and geo-information processing, and science. Thus, it is envisaged that you have relevant working experience in geo-information science and earth observation, focusing on its technological side, following graduation from a relevant BSc.
Course content
For didactic and scheduling reasons, the course requires to choose one of two specializations. A combination of courses from both specializations is NOT possible. The two specializations are earth observation science and geo-information processing, to be chosen upon registration.
Specializations
Choose one upon registration.
Learning outcomes
Why choose this course?
If you are currently working with geospatial data and information and have curiosity in recent developments in the acquisition and analysis of high-quality primary data or the integration and modelling of geospatial workflows to make business processes more efficient, this course offers an overview of opportunities.
About your certificate
Upon successful completion of this course, you will receive a Certificate which will include the name of the course.
Along with your Certificate you will receive a Course Record providing the name, and if applicable, all the subjects studied as part of the course. It states: the course code, subject, EC credits, exam date, location and the mark awarded.
This certificate course is part of the accredited Master’s Geo-information Science and earth Observation at ITC. If you decide to take the full Master’s Geo-information Science and Earth Observation at ITC, the Examination Board will give you in principle exemption from the course you followed successfully as a certificate course.
Admission requirements
Academic level and background
Applicants for the Certificate programme should have a Bachelor degree or equivalent from a recognized 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 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
As all courses are given in English, proficiency in the English language is a prerequisite.
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.
English language tests: minimum requirements
Only internationally recognised test results are accepted.
TOEFL Paper-based Test (PBT) | 550 |
TOEFL Internet-based Test | 79-80 |
British Council / IELTS | 6.0 |
Cambridge | C2 Proficiency / C1 Advanced |
Online English tests during COVID-19 for academic year 2020-2021 and academic year 2021-2022
We acknowledge the difficulties experienced worldwide in taking the compulsory language test, due to the Covid-19 situation. An alternative English test can be:
- the TOEFL iBT Special Home Edition test (valid for the September 2020 and February 2021 intake) an online test, available everywhere that TOEFL iBT testing is normally available, with the exception of Mainland China and Iran,
- the TOEFL iBT Home Edition test (valid for the September 2020, February 2021, September 2021 and February 2022 intake),
- or the TOEFL ITP Plus for China.
Please note that other online English language tests (i.e. IELTS Indicator test, Cambridge online test, etc.) will not be accepted(!)
Computer skills
If you lack computer experience we strongly advise you to follow basic courses in your home country.
Working experience
You should have working experience in a geospatial technology domain. In particular, knowledge of and skills in working with GIS and/or digital image processing of remotely sensed data and algorithmic thinking and programming are prerequisites. Fulfilment of these requirements must be shown through course records and/or project/working experience.
Computer skills
The course assumes that participants have programming skills in at least one of the following: R, Python, SQL, C++, Matlab; so that they can easily adapt to different programming environment/scripting languages.