MA30328: Applied data science
[Page last updated: 22 May 2025]
Academic Year: | 2025/26 |
Owning Department/School: | Department of Mathematical Sciences |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Honours (FHEQ level 6) |
Period: |
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Assessment Summary: | CWRG 60%, CWSI 40% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: |
Before taking this module you must ( take MA22019 AND take MA22018 AND take MA22015 ) OR ( take MA20227 AND take MA20277 AND take MA20278 )
In taking this module you cannot take MA30280 OR take MA32050 |
Learning Outcomes: |
By the end of the course you will be able to:
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Synopsis: | You will complete a project with a large data set, including the planning and design of studies, through practical analysis to the reporting of results. |
Content: | Data exploration
Data mining and data analytics
Data transformations
Analysis of large, structured complex datasets
Model selection, verification of assumptions and assessment of performance in a real-world application
Presentation of results in an appropriate format |
Course availability: |
MA30328 is Optional on the following courses:Department of Mathematical Sciences
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Notes:
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