Course: M.Sc. Geoinformatics in GIS and Remote Sensing (24 Months)

About This Course

The M.Sc. Geoinformatics program with a specialization in GIS and Remote Sensing spans 24 months, offering an extensive and specialized curriculum in the dynamic field of geospatial information. This master's program is tailored to provide in-depth knowledge and advanced skills in Geographic Information Systems (GIS) and Remote Sensing technologies. Throughout the two-year duration, students engage in comprehensive coursework covering topics such as spatial analysis, geodatabase management, and the advanced applications of remote sensing in environmental monitoring and resource management. The program combines theoretical insights with hands-on practical training, ensuring that graduates are well-equipped to tackle real-world challenges in sectors such as urban planning, natural resource management, and disaster response. The M.Sc. Geoinformatics in GIS and Remote Sensing not only nurtures a profound understanding of geospatial concepts but also fosters the expertise required for leadership roles in the evolving landscape of Geoinformatics. Successful completion of the program opens avenues for graduates to contribute significantly to research, industry, and sustainable development initiatives.


Aim of The Course:

This course is aimed for those who are interested to learn about computer based mapping technology and spatial data science.


Advantages and Goals:


  • Placement Incubation Program assistance with interview preparation process.
  • Guidance on resume profile building and improve social marketability reach across industries.
  • Get access to professional networking and career development platform that helps employment seekers and employers to connect seamlessly.
  • 100% placement assistance.

Benefits:


  • Learn syntax, data structures, and control flow in Python programming.
  • Analyse geospatial data using Python libraries and packages.
  • Use Python in GIS software’s.
  • Develop skills in automating GIS processes and workflows using Python scripts.
  • Gain proficiency in spatial data visualization, mapping, and geoprocessing with Python.