Space applications
training courses

Master of Science Geodesy and Geoinformation

• Organisation : TUM München
• Way of training : Initial education
• Language(s): English
• Place: München, Allemagne (French Regions: Europe)
• Prepared diploma/grade/title: MSc : Master of Sciences (international)
• 1st required level : French baccalauréat + 3

Course Details

Objectives : The master's program in Geodesy and Geoinformation facilitates the independent handling of geodetic tasks in all areas of geodesy. Students' existing factual and methodological knowledge is broadened, deepened and systematized in accordance with the individual student’s chosen specialization.

During the first semester, the program advances your fundamental knowledge of all areas of the discipline of geodesy and geoinformation, i.e. in the areas of higher geodesy and satellite geodesy, photogrammetry, remote sensors and cartography, as well as geodesy, geoinformatics and land management.

In the second and third semesters, you develop your knowledge of the discipline and its methodologies based on your chosen area of specialization (higher geodesy and satellite geodesy; photogrammetry, remote sensors and cartography; or, geodesy, spatial informatics, and land management). In addition to your main area of specialization, you have further options in at least one of the other two areas of specialization. Additional options in complementary disciplines, together with research-oriented project work, allow further specialization.

The fourth semester is devoted to the master's thesis. It is here that your acquired knowledge and methodological competencies converge.

Further, within the context of the program you must also complete a five-week external internship.

Public concerned : students

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

Admission requirements : Bachelor in science

Duration and terms : 4 semesters

Dedicated web site : https://www.tum.de/studium/studienangebot/detail/geodaesie-und-geoinformation-master-of-science-msc

Applications

• Environment and Land Management (Environmental protection, agriculture, biodiversity, climate changes; Resources, land-use planning, infrastructures)

Space Technologies and Scientific Disciplines

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