Taking decisions and enhancing decision making ability are important skills to have. Operational, tactical and strategic decisions however, are often complex in organisational and policy making contexts. This course provides a better understanding of soundly-based approaches for structuring and analysing decisions in the face of uncertainty and conflicting objectives (Decision Analysis). It explains how decisions are taken (Decision Behaviour) and how we can improve decision making capabilities at individual, group, organisational and societal levels (Decision Support).
Masters (MSc) in Business Analytics: Operational Research and Risk Analysis
With MSc Business Analytics, you will learn the skills to ensure that processes run smoothly, particularly in the face of challenges and opportunities arising from the global reach of business. You will gain vital knowledge and practical skills to become a professional operations, project or supply chain manager in a globalised environment.
Read about other business Master's degree courses at Alliance MBS >>
MSc Business Analytics: Operational Research and Risk Analysis
Year of entry: 2019
Course unit details:
Decision Behaviour, Analysis and Support
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Offered by||Alliance Manchester Business School|
|Available as a free choice unit?||No|
The aim of this module is to provide a state-of-the-art overview on decision making in a variety of organisational settings (e.g. private, public and not-for-profit sectors). It explores how decision analysis and decision aiding technologies can help individuals, groups and organisations make better decisions. Drawing from decision theory, behavioural and psychological studies, information systems, artificial intelligence, operational research and organisational studies, the course highlights the multi-faceted challenges of decision making. The main emphasis is on prescriptive theories of decision making.
In summary, participants will gain an understanding of the capabilities and types of decision frameworks and decision aiding technologies used in businesses and their impact on business performance and competiveness
By the end of the course participants will:
- Become aware of behavioural, normative and prescriptive models of decision making
- Develop content and process skills for modelling and analysing critical decisions in prescriptive decision support
- Understand a range of modelling frameworks, methods and tools for designing prescriptive decision processes and facilitating business decisions
- Become aware of emerging trends in decision support technology
Project (may involve group activities): 30%
Examination: 70% (2 hours)
Informal advice and discussion during a lecture, seminar, workshop or lab.
Specific course related feedback sessions.
Written and/or verbal comments on assessed or non-assessed coursework.
Written and/or verbal comments after students have given a group or individual presentation.
Generic feedback posted on Blackboard regarding overall examination performance.
The main course text is:
Simon French, Nadia Papamichail, John Maule. ‘Decision Making: Behaviour, Analysis and Support’ Cambridge: Cambridge University Press, 2009
Another suitable text is:
R. Sharda, D. Delen. and E. Turban. ‘Business Intelligence and Analytics – Systems for Decision Support’ Upper Saddle River, New Jersey: Prentice Hall, 2014.
|Scheduled activity hours|
|Assessment written exam||2|
|Independent study hours|
|Konstantinia Papamichail||Unit coordinator|
Informal Contact Method
Drop in Surgeries (extra help sessions for students on material they may be struggling with)
"I’ve always felt welcome – the staff here offer endless encouragement and support. I’ve had a really good time in Manchester and I think that the University, together with Alliance MBS, has contributed greatly to my experience. This course was quite demanding, but with enough free time to get to enjoy new friends as well as personal hobbies."