Master degree program in Geospatial Technologies
The International Master Program (Master of Science, M.Sc.) in Geospatial Technologies is a cooperation of:
- Universidade Nova de Lisboa (NOVA), NOVA Information Management School (NOVA IMS), Lisboa, Portugal;
- University of Münster (WWU), Institute for Geoinformatics (IFGI), Münster, Germany;
- Universitat Jaume I (UJI), Castellon, Spain.
This Master Program has been selected by the Erasmus Mundus Program of the European Commission as one of the most excellent Master Programs in Europe.
The three-semester English-speaker Masters program will enroll up to 32 students per year.
The first semester at NOVA IMS offers different learning paths, addressing the previous know-how and requirements of the students. The courses at NOVA IMS provide modules in data modeling and GI basics. The second semester at IFGI provides basic and advanced courses in Geoinformatics. In addition, courses in key competencies (project management, research methods) are provided. The Master thesis in the third semester is closely linked to ongoing research projects of one of the partner institutions.
Based on the successful Master's assessment the three universities will award the joint degree "Master of Science (M.Sc.) in Geospatial Technologies".
Applications - 4th call for applications
The applications are online, in NOVA IMS' Applications Portal, from July 27th to August 17th 2021, where the applicants must fill the form in this platform and upload their Curriculum Vitae and motivation letter. This Master has a special agreement regarding the application fee, so to be exempt of this fee (€51), the applicant must choose “voucher” in the payment method and submit the code: “NOVAIMS_GEOTECH”.
Master (2nd Cycle)
Access to other programs
Marco Octávio Trindade Painho
1.500€ / semester
After working hours
Conditions of admittance
The requirements of the applications are:
Adequate Bachelor's degree (or Master's degree);
High-level achievements in previous academic and professional careers.
|1º year - Autumn semester|
|200233||Artificial Intelligence and Machine Learning||2.0|
|200232||Databases and Data Management||3.0|
|200236||Data Exploration and Visualization||3.0|
|200238||Data Sources, Standards, Infrastuctures||1.0|
|200241||Earth Observation and Remote Sensing||3.0|
|200234||Geographic Information Application Development||3.0|
|200219||Geographic Information Science||7.5|
|200240||Geographic Information Systems Applications and Trends||2.0|
|200239||Geographic Information Systems: Desktop to Web||3.0|
|200222||Group Project Seminar on Programming and Analysis||5.0|
|200237||Spatial Data Services||2.0|
|200060||Geospatial Data Mining||7.5|
|200220||Spatial Data Analysis and Visualization||7.5|
|1º year - Spring semester|
|200247||Core Topics in Geographic Information Science||2.0|
|200243||From Data to Knowledge||5.0|
|200246||Project Management / Geomundus Conference||3.0|
|2º year - Autumn semester|
|200150||Thesis follow up||2.0|
|2º year - Spring semester|