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MN50755: Advanced business forecasting

[Page last updated: 05 August 2021]

Academic Year: 2021/2
Owning Department/School: School of Management
Credits: 5 [equivalent to 10 CATS credits]
Notional Study Hours: 100
Level: Masters UG & PG (FHEQ level 7)
Semester 2
Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Assessment detail for this unit will be available shortly.
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Aims: This unit will enable you to build on the skills and knowledge from unit 'Business Statistics & Forecasting' and teaches you how to use advanced forecasting methods with extensive use of the R statistical software.

Learning Outcomes:
* Analyse data and produce forecast time series using advanced forecasting techniques [CILO:K1]
* Perform cross-sectional and temporal analyses using hierarchical structures [CILO:K3]
* Apply the practical aspects of forecasting [CILO:I4, P4]
* Critically evaluate the limitations of analytical methods and the benefits of judgment [CILO:K5]
* Achieve expert level programming skills in R statistical software [CILO:P2]
* Perform analysis and forecast of large collections of data [CILO:I1].

Skills: See the LO Section.

Content: State-of-the-art forecasting models and their advanced implementations and applications.

Programme availability:

MN50755 is Optional on the following programmes:

School of Management


  • This unit catalogue is applicable for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this unit will be available in future years in the format displayed here for 2021/22.
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