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MN50640: Business statistics & forecasting

Academic Year: 2018/9
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:
Semester 1
Assessment Summary: CW 100%
Assessment Detail:
  • Coursework 1 (CW 30%)
  • Coursework 2 (CW 70%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Description: Aims:
This unit introduces the intermediate and advanced concepts of data analysis using statistics and forecasting techniques such as ANOVA, ARIMA, and logistic regression with applications in business.

Learning Outcomes:
At the end of this unit, students will be able to:
* Make managerial conclusions about a set of given data using statistical methods
* Analyse and interpret the patterns in a set of given data
* Estimate the future observations of data using the trends identified.

Skills:
Intellectual skills:
* Enhanced perspective of categorisation and classification (T, F)
Practical skills:
* Acquire, clean, present, and analyse data (T, F, A)
* Use software for statistical analysis and forecasting (F)
Transferable skills:
* Improved awareness of variability in data (T, F, A)
* Understand the uncertainties associated with forecasting (T, F, A)

Content:
Topics covered include probability distributions, confidence intervals, hypothesis testing, moving averages, exponential smoothing, linear regression, logistic regression, and effects of seasonality.
Programme availability:

MN50640 is Compulsory on the following programmes:

School of Management

Notes:

  • This unit catalogue is applicable for the 2018/19 academic year only. Students continuing their studies into 2019/20 and beyond should not assume that this unit will be available in future years in the format displayed here for 2018/19.
  • Programmes 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.
  • Undergraduates: .
  • Postgraduates: .