Help to get you started

Supplementary Learning Opportunities

Think about how to be successful in your geospatial study. Learn more where you should start with Master of Science studies before you ‘ll apply for admission.

To support your development of academic competencies, we have compiled a periodically revised (incomplete) selection of free online resources and courses.
These resources are intended to assist you in strategically enhancing, refreshing, or deepening the knowledge acquired during your Bachelor’s studies.
Whether you aim to revisit foundational concepts or explore advanced topics, these courses offer flexible and targeted learning opportunities tailored to your individual goals.

Strengthen your study skills with resources that have been collected for aspiring new students. Ranging from quizzes top a list of online courses, these online pre-arrival resources help a student to start studies feeling confident and prepared.

Test your EO* GI knowledge

•  Pro Profs Quizz on EU*GI knowledge
•  Basicversity: Test your basic GIS knowledge

Geographic  Information Systems

•  Introduction to GIS (course @geoinformatik.at)
•  Geospatial Analysis 7th Edition, 2025 – de Smith, Goodchild, Longley et al.
•  The Nature of Geographic Information (An Open Geospatial Textbook by David DiBiase et al.)
•  Map Projections – Concepts of spatial referencing  (© International Institute for Geo-Information Science and Earth Observation (ITC), Enschede
•  Map projections – explore different ways to project the round earth onto a flat map (ESRI – Tutorial)
•  Fundamentals of Mapping and Visualization (ESRI -Tutorial)
•  Cartography related tutorials (ESRI – Tutorials)

•  QGIS Tutorials and Tips (by Ujaval Gandhi)

Earth Observation and Remote Sensing

•  EO4GEO Training Material Catalogue developed in EU EO4GEO project.
•  Thenkabail, P. (Ed.). (2015). Remote Sensing Handbook –  Preview Chapter 1 Three Volume Set (1st ed.). CRC Press.
•  Remote Sensing Educational Resources  by Canada Centre for Mapping and Earth Observation 

•  Remote Sensing Courses Online provided via Coursera

Math, statistics & coding

• Math Basics: Chapters 2, 3, and 4 in Part I of the  deep learning book from Goodfellow, Bengio, and Courville
• A most complete reference:  Mathematics in Machine Learning
•  Introduction to Python Programming – Penn State University via Coursera
•  Geocomputation with Python by Dorman, M., Graser, A., Nowosad, J., & Lovelace, R. (2025)
•  Python for Data Science
•  Geospatial Python Tutorials by SpatialThoughts