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MG110: From Behavioural Insights to Strategic Decision Modelling


Course Content

Decision making is a central aspect of virtually every management and business activity. Important decisions are not only made by managers and entrepreneurs, but also by the consumers of their goods and services, and by their business rivals, partners and employees. The ability to understand how decisions are made, and to predict, guide and improve those decisions will be an invaluable part of every manager’s toolbox. It is this ability that will be developed in this course. 

Some decisions are impossible to make analytically, for lack of time, data, computational ability, or awareness. These are situations that could put decision makers at risk of falling into systematic biases and errors. The first part of this course will raise your awareness about these “traps” with a view to becoming a better intuitive decision maker. You will thus learn how to take advantage of your intuition and free it from systematic biases when making decisions.

Other decisions are made with and require extensive thought and analysis, as the stakes are high, there are multiple conflicting objectives to balance, and many sources of uncertainty about the future. These decisions are defined as strategic decisions and will be the focus of the second part of this course. Here you will learn how to become a better analytic decision maker: you will gain hands-on experience for structuring decision problems, identifying and representing strategic objectives and value trade-offs, as well as uncertainties and risks.

Course Outcomes

  • Learn how to choose in tough situations where stakes are high, and there are      multiple conflicting objectives
  • Gain awareness of the common ‘decision traps’ we fall into
  • Understand why projects often take us longer and cost more than planned, and explore ways to get rid of this problem
  • Increase your knowledge of how we perceive risk, and how to act when there are risks and uncertainties involved in a decision
  • Enhance your ability to create options that are better than the ones originally      available
  • Understand how to avoid decision traps and become a better decision maker.

In lectures you will engage with cutting-edge research in decision-making and analysis. In class, you will then investigate how it can be applied to both business and personal life.

Amongst the many topics considered will be:

  • Decision analysis
  • Decision maker and consumer behaviour
  • Behavioral science
  • Nudge
  • Heuristics and biases
  • Decision making by groups and organisations
  • Evidence-based decision making.

You will also learn how to use sound decision-making principles and simple decision-analytic tools to make better decisions. The course requires active participation in classroom activities that bring to life the principles being discussed.

Professionals with at least two years of work experience may wish to consider the Executive Summer School course: Strategic Decision Making for Management




World-class LSE teaching

The Department of Management was established in 2000, and is committed to advancing the frontiers of the study of management, through its social-science based research, collaboration across the entire LSE, and its engagement with enterprises, organisations, and leaders throughout the world. The 2014 Research Excellence Framework has ranked LSE as the UK higher education leader for Business and Management Studies.

On this three week intensive programme, you will engage with and learn from full-time lecturers from the LSE.



Bazerman, M. and Moore, D.A., Judgment in Managerial Decision Making.  New York: Wiley. 8th edition (2013).

Goodwin, P and Wright, G. (2009) Decision Analysis for Management Judgment. Chichester, Wiley, 4th Ed.

Hammond, Keeney and Raiffa, Smart Choices. Harvard Business School Press: Boston. (1999)

These texts are recommended for background reading, and as a resource. Throughout the course chapters and articles will be assigned and distributed electronically.

*A more detailed reading list will be supplied prior to the start of the programme

**Course content, faculty and dates may be subject to change without prior notice



Session: One

Dates: 19 June - 7 July 2017

Dr Barbara Fasolo 
Dr Valentina Ferretti

Level: 100 level

Fees: Click here for information

Prerequisites: None, although quantitative skills would be an advantage

Lectures: 35 hours 

Classes: 17.5 hours

Assessment*: Class attendance, participation, assignments and two examinations

Typical credit**: 3-4 credits (US)
7.5 ECTS points (EU)

How to apply?

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*assessment is optional – see FAQs

**You will need to check with your home institution. Read more about credit transfer here.