Master degree program in Geospatial Technologies
Education objectives
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
The applications are online, in NOVA IMS' Applications Portal, from April 20th until May 26th 2022, 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”.
General characterization
DGES code
7182
Cicle
Master (2nd Cycle)
Degree
Master
Access to other programs
Coordinator
Marco Octávio Trindade Painho
Opening date
September 2022
Vacancies
Fees
1.700€ / semester
Schedule
After working hours
Teaching language
English
Degree pre-requisites
Conditions of admittance
The requirements of the applications are:
- Adequate Bachelor's degree (or Master's degree);
- Strong motivation;
- High-level achievements in previous academic and professional careers.
Evaluation rules
Structure
Paths
1º year - Autumn semester | ||
---|---|---|
Code | Name | ECTS |
200219 | Geographic Information Science | 7.5 |
200222 | Group Project Seminar on Programming and Analysis | 5.0 |
200219 | Geographic Information Science | 7.5 |
200222 | Group Project Seminar on Programming and Analysis | 5.0 |
Options | ||
200060 | Geospatial Data Mining | 7.5 |
200103 | Portuguese | 4.0 |
200115 | Remote Sensing | 7.5 |
200220 | Spatial Data Analysis and Visualization | 7.5 |
200221 | Spatial Statistics | 7.5 |
200060 | Geospatial Data Mining | 7.5 |
200103 | Portuguese | 4.0 |
200115 | Remote Sensing | 7.5 |
200220 | Spatial Data Analysis and Visualization | 7.5 |
200221 | Spatial Statistics | 7.5 |
1º year - Spring semester | ||
---|---|---|
Code | Name | ECTS |
200246 | Geomundus Conference | 3.0 |
200246 | Geomundus Conference | 3.0 |
2º year - Autumn semester | ||
---|---|---|
Code | Name | ECTS |
200131 | Thesis | 28.0 |
200150 | Thesis follow up | 2.0 |
200131 | Thesis | 28.0 |
200150 | Thesis follow up | 2.0 |