Module overview
In today’s era of “big data”, business analytics has become a key part of management decision making. Modern managers must now develop a deeper understanding of the use and value of big data and of the various analytical tools which are available to make sense of it. This module provides a deeper insight into the use of analytics with big data in a business environment; and, critically, how it can be used to inform strategic decision-making in organisations.
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- A range of deep analytic approaches to support business;
- The impact of data analytics on business strategy and operations.
- The different uses of deep data analytics with big data;
- Ethical and legal issues of data analytics;
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Critically evaluate the appropriate application of different analytics.
- Analyse and evaluate data, based on relevant techniques;
- Apply a range of analytical techniques/approaches to support business.
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Think critically and argue effectively;
- Information technology and computing using analytical software.
- Interpret and analyse quantitative data related to business issues, using big data and appropriate analytical skills;
Syllabus
Basic principles underpinning big data analytics such as, but not limited to:
- Data use in business environments
- Deep analytics methods
- Strategies to implement data analytics in companies
- Ethical issues in using data analytics
- Business models using big data.
Learning and Teaching
Teaching and learning methods
- Lectures
- Problem solving sessions
- Case studies
- IT Lab sessions
Type | Hours |
---|---|
Teaching | 30 |
Independent Study | 70 |
Total study time | 100 |
Resources & Reading list
Textbooks
Kunc, M. (2018). Strategic Analytics: Integrating Management Science and Strategy. John Wiley & Sons.
Richard Vidgen, Samuel N. Kirshner, Felix Tan (2019). Business Analytics: A Management Approach. Macmillan Education UK.
Assessment
Formative
This is how we’ll give you feedback as you are learning. It is not a formal test or exam.
In-class formative opportunities
- Assessment Type: Formative
- Feedback: Individual feedback on exercises will be provided for students in class.
- Final Assessment: No
- Group Work: No
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Report | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Report | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
Method | Percentage contribution |
---|---|
Report | 100% |