Postgraduate Programme and Module Handbook 2019-2020 (archived)
Module BUSI4P110: Business Analytics (EBS)
Department: Management and Marketing
BUSI4P110: Business Analytics (EBS)
| Type | Tied | Level | 4 | Credits | 10 | Availability | Available in 2019/20 | Module Cap | None. |
|---|
| Tied to | N1T817 |
|---|
Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To provide an appreciation of descriptive, predictive and prescriptive business-analytics techniques.
- To provide knowledge of, and ability to apply, a range of business-analytics techniques.
- To implement business-analytics models using appropriate software.
- To show how business analytics can help companies to make better decisions.
Content
- Descriptive techniques e.g. data visualisation, data analysis, and descriptive statistics.
- Predictive techniques e.g. data mining.
- Prescriptive techniques e.g. linear optimisation models.
Learning Outcomes
Subject-specific Knowledge:
- By the end of the module students should:
- Have in-depth knowledge of a range of business-analytics techniques and be able to apply them critically to management problems.
- Have an understanding of the applicability and limitations of business-analytics techniques.
Subject-specific Skills:
- By the end of the module students should be able to:
- Choose appropriate business-analytics techniques for some key management problems;
- Implement business-analytics models using appropriate software packages;
- Interpret the results of business analytics models and their relevance for companies.
Key Skills:
- Written communication
- Planning, organising and time management
- Problem solving and analysis
- Computer literacy
- Interpretation of data
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Learning outcomes are met through classroom-based workshops, supported by online resources. The workshops consist of a combination of taught input, groupwork, case studies and discussion. Online resources provide preparatory material for the workshops – typically consisting of directed reading and video content.
- The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module.
- The summative assessment is an individual business analytics project, which is designed to test the ability to formulate a problem, apply appropriate business-analytics techniques to analyse it, and critically interpret the results obtained.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Workshops - combination of lectures, groupwork, case studies and discussion | 6 | Over a 3-day teaching block | 4.5 hrs | 27 | |
| Webinars / online videos | 2 | ||||
| Preparation and Reading | 71 | ||||
| Total | 100 |
Summative Assessment
| Component: Written Assignment | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Individual Project | 3000 words max | 100% | Same |
Formative Assessment:
Classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module. Oral and written feedback will be given on a group and/or individual basis as appropriate.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University