Data Mining and Analysis (BENG0095) | UCL
University College London · England · BENG0095
Data Mining and Analysis (BENG0095) | UCL is a subject at University College London, England. It covers topics like data-analysis, data-analytics, data-mining, data-science. It is part of 12 degrees. The information below is compiled from public course material — approximate, not official.
University College London
BENG0095
3.00
Topics covered
Degrees that include Data Mining and Analysis (BENG0095) | UCL
- Data Science and Public Policy (Economics) MSc
- Data Science and Public Policy (Political Science) MSc
- Finance with Data Science MSc
- Knowledge, Information and Data Science MSc
- Management Science BSc
- Marketing Science MSc
- Medical Statistics and Data Science MSc
- People Analytics and Human-Centric Management MSc
- Sociology and Data Science MSc
- Statistics and Management for Business BSc
- Statistics BSc
- Statistics MSc
Frequently asked questions
What is Data Mining and Analysis (BENG0095) | UCL about?
Data Mining and Analysis (BENG0095) | UCL covers topics like data-analysis, data-analytics, data-mining, data-science.
Which degrees include Data Mining and Analysis (BENG0095) | UCL?
Data Mining and Analysis (BENG0095) | UCL is part of 12 degrees, including Data Science and Public Policy (Economics) MSc, Data Science and Public Policy (Political Science) MSc, Finance with Data Science MSc, Knowledge, Information and Data Science MSc, Management Science BSc.
How many credit points is Data Mining and Analysis (BENG0095) | UCL?
Data Mining and Analysis (BENG0095) | UCL at University College London is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Data Mining and Analysis (BENG0095) | UCL taught?
Data Mining and Analysis (BENG0095) | UCL is taught at University College London, England.
Studying Data Mining and Analysis (BENG0095) | UCL?
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Sources: University College London public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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