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Course & Unit Catalogues


MN50697: Business analytics

[Page last updated: 09 August 2024]

Academic Year: 2024/25
Owning Department/School: School of Management
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Modular - no specific semester
Assessment Summary: CW 100%
Assessment Detail:
  • Coursework (CW 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Successful completion of this unit will allow students to understand how insights into decision problems can be gained by applying appropriate methods to collect and analyse data. A key feature of the unit will be the development of critical skills which will allow students to assess the strength and limitations of quantitative analyses presented to them.


Aims: This unit aims to show how informed management decision making can be supported by the collection and analysis of relevant data.

Skills: Critical thinking - facilitated and assessed
Numeracy skills - facilitated and assessed
Research skills - facilitated.

Content: Methods for collecting data. 
Descriptive statistics, and data visualisation 
Assessing risk and quantify likelihood
Interpreting data from samples
Correlation and regression models.

Course availability:

MN50697 is Compulsory on the following courses:

School of Management

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • 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.