We implicitly assume, for example, that information provided to citizens will be read, digested, and then used to change behaviour. But very often it goes unnoticed. We assume that new tax incentives will encourage people to save for their retired. But they fail to do so in ways that we hoped. And we assume that the apparently small details in the implementation of policies (such as how complex a form is to fill in) will have a negligible impact on uptake of a programme.

Behavioural science examines how people behave in practice. And then provides us with a set of tools to change the way that policy is delivered or implemented in ways that go more with the grain of human decision-making. Very often this leads us to look at ways of changing the structure of the decision-making process, rather than attempting to change the mindset of the individuals themselves.

This module provides you with a critical understanding of the core concepts in behavioural science, and how they are applied to public policy. You will learn how new interventions can improve the outcomes of policy quickly and cheaply. You will also be able to explain and critique the way that behavioural science has been applied across the world to improve policy.

Course content

Week 1: Key theories of behavioural science

This first week will focus on identifying the core theories of behavioural science. We will look at concepts such as ‘social influence,’ biases and heuristics to understand the various factors that can affect human rationality or judgement.

Week 2: Applying theories to the real world

In the second week we will begin the applying these theoretical concepts into practice. You will be able to identify biases, for example, and learn how to develop interventions based on theory and your diagnosis.

Week 3: Case studies

In this final week, we will examine two case studies to have to practical look at social influences and behavioural government as they manifest in a real-world setting. This will put into practice the concepts and insight gained from the past weeks of the module.

Learning outcomes

Upon completion of this module, students will be able to:

• Construct a behavioural diagnosis to understand which biases and heuristics (if any) are relevant to a particular policy problem.
• Develop, and evaluate the limitations of, interventions based on diagnoses.
• Design and apply randomised controlled trials to test these interventions.

This short course is for mid-career professionals. Standard entry requirements are a 2:1 degree plus 3 years of relevant work experience. Applicants without a 2:1 or higher degree are welcome to apply and typically require 5+ years of relevant work experience.

Assessment

One written assignment, plus participation in webinars and discussion forums.

Our modules offer high levels of interaction with regular points of assessment and feedback. Each four week module is worth five Master's level academic credits and includes three webinars with a King's lecturer and peer group of global professionals.

Format: Fully online, plus 3 x 1-hour weekly webinars, plus one optional induction webinar in the week before the start of teaching and an optional assessment webinar in Week 4.

This module has been designed specifically for an online audience. It uses a range of interactive activities to support learning including discussion forums, online readings, interactive lectures videos and online tutorials.

Tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.