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MA12009: Data analysis for business

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Mathematical Sciences
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Certificate (FHEQ level 4)
Period:
Academic Year
Assessment Summary: CWRG 20%, CWRI 40%, EXOB 40%
Assessment Detail:
  • Practical test (CWRI 20%)
  • Computing technical assessment (CWRI 20%)
  • Data analysing/reporting assessment (CWRG 20%)
  • Exam (EXOB 40%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes:
  • Recognise fundamental knowledge of business in business analytics
  • Use computing to handle and present business data sets appropriately.
  • Identify business problems/opportunities in application of concepts and theories
  • Understand and apply the key statistical techniques that underpin business analytics



Synopsis: Having been taught some statistical topics, in this unit you will develop quantitative analysis skills for decision making. You will also learn how to use computing for graphical and descriptive data analysis.

Content: Use computing in handling and presenting some types of data which are particularly relevant in business; Collate and categorise data Describe and analyse business data Time series analysis Formulate and solve simple problems in probability Hypothesis test

Course availability:

MA12009 is Compulsory on the following courses:

School of Management

Notes:

  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.