This course is compulsory on the MSc in Management Science (Decision Sciences). This course is available on the MSc in Management Science (Operational Research). This course is available as an outside option to students on other programmes where regulations permit.

This course is complementary to any behavioural course offered at LSE.

Elementary statistical and mathematical concepts and experience of standard computer software is assumed.

A major characteristic of all decisions in every organisation is that they are taken to achieve objectives, both short-term and long-term. To do this well is a fundamental skill for managers at every level in the organisation. But decisions are often hard to make in the presence of multiple objectives, uncertainty about the future, and differences of opinion among key players. For decisions that require large amounts of resources and commitments, the weight of responsibility felt by the decision maker can be heavy, especially when the consequences require considered judgements about trade-offs between benefits, risks and costs.

In this course students will learn how to use Risk and Decision Analysis as a form of analytics that supports decision making in private, voluntary and public organisations.  The course shows how a consistent and realistic mix of data and judgement can help decision makers to better achieve their objectives . Based on sound theory underlying normative, descriptive and prescriptive decision-making research, the course emphasises the practical application of Risk and Decision Analysis for decision-making on any topic in any organisational setting.

The course is designed to enhance the students’ decision capabilities when confronted with strategic or operational choices, when searching for decision opportunities, and when designing strategies and policies. It uses real-world Risk and Decision Analysis applications in organisations, and employs several case-studies (supported by specialised decision software) to build students' skills in decision modelling and analysis. It covers modelling and supporting decisions involving multiple stakeholders and conflicting objectives (multi-criteria decision analysis, portfolio decision analysis and resource allocation problems) as well as uncertainty (decision trees, influence diagrams, and risk analysis).

The course is suitable for third-year undergraduates and postgraduate MSc students, who will attend the same lectures but different seminars. Past experience shows that both undergraduates and postgraduates benefit from asking questions and sharing their experiences in the interactive lectures.

20 hours of lectures and 9 hours of seminars in the LT.

A reading week will take place in W6. There will be no teaching during this week.

Students will be expected to produce 3 exercises in the LT.

Feedback on Group Project Plan

Belton, V. and Stewart, T. (2002) Multiple Criteria Decision Analysis. London, Kluwer.

Clemen, R.T. and Reilly, T. (2014)  Making Hard Decisions. Pacific Grove: Duxbury.

Edwards W., Miles Jr R.F. and von Winterfeldt D. (eds). Advances in Decision Analysis: From Foundations to Applications. Cambridge University Press: New York.

Eisenführ, F., Weber, M. and Langer, T. (2010) Rational Decision Making, 1st ed. Berlin: Springer.

Goodwin, P. and G. Wright (2014). Decision analysis for management judgement. Chichester, Wiley.

Keeney, R.L. (1992) Value-Focused Thinking: A Path to Creative Decision-making. Cambridge: Harvard Univ. Press. HD30.23 K21 (Course Collection).

Keeney, R. L. and Raiffa, H. (1993) Decisions with Multiple Objectives: Preferences and Value Trade-offs. Cambridge: Cambridge University Press, 2nd ed.

Mcnamee, P. and Celona, J. (2007) Decision Analysis for the Professional. Menlo Park: Smart Org, 4th ed (e-book available in the library).

G.S. Parnell et al. (2013) Handbook of Decision Analysis. Hoboke, Wiley.

Roy, B. (1996). Multicriteria Methodology for Decision Aiding. Dordrecht: Kluwer.

von Winterfeldt, D. & Edwards, W. (1986) Decision Analysis and Behavioral Research. Cambridge: Cambridge University Press.

Project (50%) in the LT.
Essay (50%) in the ST.

Group Project (50%) due week 11 of Lent Term

Individual Report (50%) due Week 1 of Summer Term