Space applications
training courses

Master of Science - Geodäsie und Geoinformatik

• Organisation : KIT
• Way of training : Initial education
• Language(s): Deutch
• Place: Karlsruhe, Germany (French Regions: Europe)
• Prepared diploma/grade/title: MSc : Master of Sciences degree from a French higher education Institute (Label of the Conférence des Grandes Ecoles)
• 1st required level : French baccalauréat + 3

Course Details

Objectives : In the 1st and 2nd semester: 6 compulsory subjects. In the 2nd and 3rd semester, there is a specialization in two of the 6 profile areas:

• Computer vision - image and sensor analysis - including 2D and 3D structure and object extraction, image sequence analysis, Statistical pattern recognition and knowledge-based image analysis, several modules to choose from
• Technical navigation and process monitoring including dimensional survey methods, some chapters on GNSS, several compulsory elective modules
• Earth System Observation - Geomonitoring & Remote Sensing - including recent geodynamics, seminar on Earth system observation, SAR and InSAR remote sensing, regional gravity field modelling, several elective modules
• Geoinformatics - Modeling, management and analysis of geodata including GeoDB, 3D/4D GIS, geoinformatics project, several compulsory modules to choose from
• Earth Observation – Part A – including hyperspectral remote sensing, tomographic laser and radar sensing, geodetic application of SAR interferometry, advanced analysis in GIS, several elective modules
• Earth Observation - Part B - GeoDB, Remote sensing methods, Recent Earth observation programs and systems, Scientific processing of GNSS data, several elective modules

Public concerned : Students

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

Duration and terms : 4 semesters

Dedicated web site : https://www.sle.kit.edu/vorstudium/master-geodaesie-geoinformatik.php

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...)
• Geopositioning (Positioning, GNSS)
• Earth observation (Remote sensing, GIS, geomatics)