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.
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.
Choose one upon registration.
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.
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.
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.
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.
- Ensure you have obtained a valid English test result before the application deadline. If your application is accompanied by a language test score report with a test date after our application deadline, we will not process it. Therefore, make sure to do the test in advance, as it will take time for you to get the official certificate.
- When applying for a scholarship, the language requirements may be different because scholarship providers may have different requirements.
You are exempted from the English language requirement if you hold:
- a relevant bachelor's degree from an accredited academic institution in the Netherlands
- if you are a national of one of the countries in this list (PDF)
- a three-year bachelor's degree in Australia, Canada (English-speaking part), Ireland, New Zealand, UK or USA. When your awarding institution is in one of these countries, but your teaching institution was not, you are not exempted. The same rule applies to distance (online) education.
If you lack computer experience we strongly advise you to follow basic courses in your home country.
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.
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.