MN50744: Databases and business intelligence
[Page last updated: 23 October 2023]
| Academic Year: | 2023/24 |
| Owning Department/School: | School of Management |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
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| Assessment Summary: | CWRI 50%, EXCB 50% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | |
| Learning Outcomes: |
At the end of this unit, students will be able to:
* Design a database that will best fit the needs of a business in terms of both flexibility and efficiency * Use optimised queries to process data and derive managerial insights * Visualise processed data in multiple dimensions to maximise its business value. |
| Aims: | This unit introduces databases for the storage and retrieval of data as well as tabular and graphical methods of data presentation for deriving managerial insights. |
| Skills: | * Intellectual skills: Identify the underlying data model of a business process; develop algorithmic thinking for rule extraction and exception detection; enhance perspective of knowledge discovery * Practical skills: Present multi-dimensional data in tabular and graphical formats; apply business Intelligence software; simplify and convert data for analysis; apply state-of-the-art data mining software * Transferable skills: Enhance perspective of data storage and retrieval; eliminate data duplication to achieve information consistency; improve assessment of the value of knowledge. |
| Content: | Topics covered include basic data types, relational databases, query design, object oriented databases, web databases, data warehousing, and slice-and-dice methods for data visualization. |
| Course availability: |
MN50744 is a Designated Essential Unit on the following courses:Department of Economics
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Notes:
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