Bachelor of Arts (BASS)

BASS Criminology and Data Analytics

Examine today's fundamental questions using applied statistical and data-analytic methods.

  • Duration: 3 or 4 years
  • Year of entry: 2025
  • UCAS course code: C856 / Institution code: M20
  • Key features:
  • Study abroad
  • Industrial experience

Full entry requirementsHow to apply

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

Course unit fact file
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

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