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MN50744: Databases and business intelligence

[Page last updated: 15 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: School of Management
Further information on credits Credits: 10      [equivalent to 20 CATS credits]
Further information on notional study hours Notional Study Hours: 200
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 100%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Description: 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.

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.

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.
Further information on programme availabilityProgramme availability:

MN50744 is a Designated Essential Unit on the following programmes:

Department of Economics
  • THES-AFM30 : MSc Economics for Business Intelligence and Systems

Notes: