|Nominal duration||2 year (120 ECTS)|
|Awards||MSc (Master of Science)|
|Tuition fee||€3,400.00 per year
The tuition-waivers available. For more information: www.ut.ee/en/prospective-students/tuition-fees-0
Undergraduate diploma (or higher)
Prior learning prerequisites: eligible applicants must have completed the following in their prior learning period: at least 30 ECTS either in geography, geoinformatics, information technology, environmental technology, planning, geology, ecology, biology, environmental physics, economy, sociology, or government and politics
NB! Please see important information at: www.geograafia.ut.ee/en/studies/admission-geoinformatics-urbanised-society
The entry qualification documents are accepted in the following languages: English / Estonian.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
It is required that you send verified copies of the entry qualification documents directly to the university by postal mail, according to the instructions given by the institution. Important! Never send original documents by post!
Please note that the documents are expected to be mailed to the University only by those receiving the admission offer (unless instructed otherwise by the admissions staff).
Address for sending the application documents:
For details, see www.ut.ee/requirements
A motivation letter must be added to your application.
Estonian applicants should apply from February 6 until March 15 via SAIS.
Specific requirements for Non-EU applicants:
Please check the country-specific information to find out if there are additional requirements you need to meet: www.ut.ee/en/country-specific-requirements.
If admitted, you will most likely need to apply for visa/residence permit. Please find more information about the application process: www.ut.ee/en/welcome/non-eu-citizens-residence-permits-and-visas.
The 2-year master’s programme in Geoinformatics for Urbanised Society prepares highly qualified specialists on handling and analysing spatial data and developing decision support systems for public, private, and non-governmental sector. Special emphasis of the programme is put on the development of practical skills of students.