MN50751: Business statistics & forecasting
[Page last updated: 15 October 2020]
Academic Year: | 2020/1 |
Owning Department/School: | School of Management |
Credits: | 10 [equivalent to 20 CATS credits] |
Notional Study Hours: | 200 |
Level: | Masters UG & PG (FHEQ level 7) |
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Assessment Summary: | CW 100% |
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Description: | Aims: This unit will introduce you to concepts of data analysis using statistics and forecasting techniques to achieve the best possible estimates for unknown parameters such as customer demand. Learning Outcomes: * Make managerial conclusions about a set of given data using statistical methods [CILO:K1] * Understand the uncertainties associated with forecasting [CILO:K3] * Analyse and interpret the patterns in a set of given data [CILO:K5, P4] * Estimate the future observations of data using the trends identified [CILO:I1] * Use software for statistical analysis and forecasting [CILO:P2] * Prepare business reports to present the results of a forecasting model to a non-technical audience [CILO:I5, I6] Skills: See LO section. Content: Topics covered include simple and advanced forecasting methods and measurement of their performance. |
Programme availability: |
MN50751 is Compulsory on the following programmes:School of Management
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