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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:
Semester 2
Assessment Summary: CWRG 60%, CWSI 40%
Assessment Detail:
  • MA32028 Coursework 1 (CWSI 40%)
  • MA32028 Case study (CWRG 60%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
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:
  • Demonstrate first-hand experience of handling complex real-world data sets
  • Use data science techniques to analyse large complex data in R
  • Be able to formulate proper mathematical arguments and perform appropriate statistical inference on real world data science problems
  • Present results from a data science analysis in a suitable style



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
  • USMA-AFM14 : MMath(Hons) Mathematics (Year 4)
  • USMA-AAM15 : MMath(Hons) Mathematics with Study year abroad (Year 4)
  • USMA-AKM15 : MMath(Hons) Mathematics with Year long work placement (Year 5)

Notes:

  • This unit catalogue is applicable for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this unit will be available in future years in the format displayed here for 2025/26.
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