MN50755: Advanced business forecasting
[Page last updated: 09 August 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | School of Management |
| Credits: | 5 [equivalent to 10 CATS credits] |
| Notional Study Hours: | 100 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
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| Assessment Summary: | CWRA 10%, CWRG 90% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | |
| 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]. |
| 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. |
| Skills: | See the LO Section. |
| Content: | State-of-the-art forecasting models and their advanced implementations and applications. |
| Course availability: |
MN50755 is Optional on the following courses:School of Management
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Notes:
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