- UCAS course code
- C856
- UCAS institution code
- M20
Bachelor of Arts (BASS)
BASS Criminology and Data Analytics
Examine today's fundamental questions using applied statistical and data-analytic methods.
- Typical A-level offer: ABB including specific subjects
- Typical contextual A-level offer: BBC including specific subjects
- Refugee/care-experienced offer: BBC including specific subjects
- Typical International Baccalaureate offer: 34 points overall with 6,5,5 at HL
Fees and funding
Fees
Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £26,500 per annum. For general information please see the undergraduate finance pages.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
Scholarships and bursaries, including the Manchester Bursary , are available to eligible home/EU students.
Some undergraduate UK students will receive bursaries of up to £2,000 per year, in addition to the government package of maintenance grants.
You can get information and advice on student finance to help you manage your money.
Course unit details:
Using Nudge to Change Lives
Unit code | POLI30331 |
---|---|
Credit rating | 20 |
Unit level | Level 3 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Aims
The course unit aims to:
• Provide an introductory grounding on the theoretical foundations of behavioural science.
• Critically investigate how the theories of behavioural science have been applied in the public and private sector around the world.
• Support students’ critical thinking about how these ideas might be further developed and applied to policy issues of their choice.
Learning outcomes
Knowledge and Understanding:
- Explain and analyse the underpinning theories of behavioural science
- Understand how theories have been translated into different empirical contexts
- Assess the application of behavioural science in public policy in different places and contexts
Intellectual skills:
- Interrogate key theories
- Collate, critique, and defend different forms of evidence
- Understand and apply evaluative principles to empirical material
Practical and transferable skills:
- Policy-orientated research
- Independent research to support essay writing
- Collaborative work and group learning
Teaching and learning methods
This course will be taught in three-hour workshop blocks for 10 weeks. Students will be
expected to complete key readings in advance of this weekly workshop in order to enable
discussion. The course instructor will start with an introductory lecture each week which
will be followed by both large and small-group tasks and hands-on learning. This will allow students to build teamwork skills, develop their project proposals, and engage with the course convener on specific topics.
Indicative week-by-week guide
1. Introduction to the module and to the topic of behavioural science.
2. Applying the theory: we will discuss various frameworks that can help identify barriers
and facilitators to behaviours e.g. COM-B (Michie, 2011) as well as ways to change
those behaviours e.g. EAST (BIT, 2014)
3. Applications in practice 1: behavioural science in the public sector - discussion of how
it is used by governments across the world (guest lecture)
4. Applications in practice 2: Behavioural science in the private sector - how it is used to
benefit and harm consumers (guest lecture)
5. How to run a behavioural science project – introducing TESTS
6. Measuring impact – how can we know if the approach has worked?
7. Ethics, limitations and criticisms e.g. WEIRD (Heinrich et al, 2010) (guest lecture)
8. Going beyond 'nudge' - Nudge Plus, how behavioural science interacts
with data science, design thinking, co-production
9. Revision of content covered in previous weeks, initial collective feedback on 1st assignment, and preparation for final assignment
Knowledge and understanding
• Understand the basics of core underpinning theories of behavioural science
• Understand, explain and analyse how theories have been translated into different empirical contexts
• Assess the application of behavioural science in public policy in different places and contexts
Intellectual skills
- Develop ideas for applied policy solutions
- Collate, critique, and defend different forms of evidence
Practical skills
• Policy-orientated research
• Independent research to support essay writing
Assessment methods
Method | Weight |
---|---|
Report | 20% |
Project output (not diss/n) | 80% |
Recommended reading
Dolan, P., Hallsworth, M., Halpern, D., King, D. and Vlaev, I. (2009) MINDSPACE: Influencing behaviour through public policy, London: Cabinet Office and Institute for Government
Hallsworth and Kirkman (2020) Behavioural insights MIT Press Essential Knowledge
Series
Behavioural Insights Team (2014) EAST: Four Simple Ways to Apply Behavioural Insights Henrich et al (2010) The weirdest people in the world? Behavioral and Brain Sciences (2010) 33, 61-135 doi:10.1017/S0140525X0999152X
John, P., Cotterill, S., Moseley, A., Richardson, L., Smith, G., Stoker, G. and Wales, C. (2019) Nudge, nudge, think, think: experimenting with ways
Study hours
Scheduled activity hours | |
---|---|
Practical classes & workshops | 30 |
Teaching staff
Staff member | Role |
---|---|
Felicity Algate | Unit coordinator |