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GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc

University of Southampton ยท England ยท GGES6031

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GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc is a subject at University of Southampton, England. It covers topics like data-science, machine-learning, remote-sensing, spatial-sciences. It is part of 3 degrees. The information below is compiled from public course material โ€” approximate, not official.

University
University of Southampton
Code
GGES6031
Credit points
3.00

Topics covered

data-sciencemachine-learningremote-sensingspatial-sciences

Degrees that include GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc

Frequently asked questions

What is GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc about?

GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc covers topics like data-science, machine-learning, remote-sensing, spatial-sciences.

Which degrees include GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc?

GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc is part of 3 degrees, including BSc Mathematics with Data Science Typical offer: AAA UCAS course code: G1G5 Duration: 3 years, MSc Geographical Information Systems and Remote Sensing Typical offer: 2:2 degree Duration: 1 year, MSc Machine Learning Typical offer: 2:1 degree Duration: 1 year.

How many credit points is GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc?

GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc at University of Southampton is typically around 3.00 credit points. Approximate โ€” confirm with the university.

Where is GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc taught?

GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc is taught at University of Southampton, England.

Studying GGES6031 2026-27 Machine Learning for Geospatial Data Science The module provides students with practical skills in applied machine learning while fostering a multidisciplinary perspective that integrates remote sensing, GIS, and data science. It introduc?

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Sources: University of Southampton public course catalogue. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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