Space applications
training courses

Master of Sciences in Geodesy and Cartography

• Organisation : Warsaw University of Technology
• Way of training : Initial education
• Language(s):
• Place: Warsaw (Poland) (French Regions: Europe)
• Prepared diploma/grade/title: MSc : Master of Sciences (international)
• 1st required level : French baccalauréat + 3

Course Details

Objectives : Geodesy is historically the science of surveying the Earth and presenting its image in the form of maps related to cartography. Modern geodesy and cartography is still the field of science related to surveying, but with the use of many observational techniques starting with geodesy and geodynamics through satellite and airborne photogrammetric imaging, remote sensing techniques to classic ground-based surveying and legal aspects of cadastral and property management. The variety of Earth observation techniques is constantly increasing the role of a surveyors and cartographers as those who can integrate all these data, providing precise spatial location and georeferenced and is able to present and interpret occurring phenomena.

Geodesy and Cartography – the Second Cycle

7 specializations in full-time studies:
Geodesy and Satellite Navigation
Engineering and Industrial Surveying
Cadastre and Real Estate Management
Photogrammetry and Remote Sensing
Cartography and Geographic Information Systems
Spatial Information Systems
Mobile Mapping and Navigation Systems (in English)

3 specializations in part-time studies:
Engineering surveying
Cadaster and spatial information systems
Satellite technologies in geodesy Geodesy

Public concerned : Students

Degree Level (EU) : 7 - (EQC level or equivalent)

Duration and terms : 4 semesters
course in Polish

Notes : Geodesy and Cartography – the First Cycle (Bachelor of Engineering)
general course in full-time studies
specialization: Surveying and Spatial Information Systems in part-time studies

Dedicated web site : https://www.gik.pw.edu.pl/gik_en/Studies

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Geopositioning (Positioning, GNSS)
• Earth observation (Remote sensing, GIS, geomatics)