FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh
University of Southampton · England · FEEG6025
FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh is a subject at University of Southampton, England. It covers topics like business-analytics, data-analytics, data-science, engineering-mathematics. It is part of 1 degree. The information below is compiled from public course material — approximate, not official.
University of Southampton
FEEG6025
3.00
Topics covered
Degrees that include FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh
Frequently asked questions
What is FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh about?
FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh covers topics like business-analytics, data-analytics, data-science, engineering-mathematics.
Which degrees include FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh?
FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh is part of 1 degree, including MSc Data and Decision Analytics Typical offer: 2:1 degree Duration: 1 year.
How many credit points is FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh?
FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh at University of Southampton is typically around 3.00 credit points. Approximate — confirm with the university.
Where is FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh taught?
FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh is taught at University of Southampton, England.
Studying FEEG6025 2025-26 Data Analytics in Civil, Environmental, and Energy Systems Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It sh?
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Sources: University of Southampton public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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