Modes and duration
- Full-time: 1 year
- Flexible: up to 2 years
- Distance learning: available
Programme start date
Tuition Fees (2016/17)
- £3,815 (FT) £N/A (PT)
- £6,045 (FT) £N/A (PT)
Normally, a minimum of a second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard. Relevant disciplines include science subjects (e.g. engineering or computer science) or social science subjects (e.g. psychology, criminology or geography). Alternatively candidates may qualify for entry if they can offer five or more years of relevant professional experience (for example in the police service, or as a crime prevention worker).
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Students develop the ability to apply scientific principles to crime control, think more strategically in developing and implementing crime control policies, appreciate the complexity of implementation issues, critically assess the likely impact of planned crime reduction initiatives and generate more innovative proposals for reducing particular crime problems.
This programme can be taken as classroom based (full time or flexible) or by distance learning. Students undertake modules to the value of 60 credits.
The programme consists of one core module (15 credits) and three optional modules (45 credits).
- Foundations of Security and Crime Science
- Students choose three of the following:
- Designing and Doing Research
- Quantitative Methods
- Preventing Crimes
- Crime Mapping and Spatial Analysis
- Qualitative Methods
- Investigation and Detection
- Perspectives on Organised Crime
- Perspectives on Terrorism
- Prevention and Disruption
Teaching and Learning
The programme is delivered through lectures, seminars, tutorials, projects, laboratory classes, and practical exercises. Practical work will involve the analysis and interpretation of data sets, and the development of new ideas for solving problems. Assessment is through laboratory and project reports, unseen written examinations, coursework and presentations.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £15,000 (1 year)
- UK students
- Based on both academic merit and financial need
- £2,500 - £10,000 (1 year)
- UK, EU, Overseas students
- Based on academic merit
More scholarships are listed on the Scholarships and Funding website
Many graduates now work in the field of crime prevention and detection for public sector employers such as the Home Office, Police and Ministry of Defence (MOD), or private sector companies with a crime prevention and community safety focus. Other graduates go on to further doctoral research.
Top career destinations for this degree
- Assistant Crime Analyst, Home Office (2012)
- Principal Crime Analyst, Hull City Council (2012)
- State Tracker, Cambridge Constabulary (2012)
- Sales Analyst, Pilkington UK (2012)
Each year we ask our graduates to tell us about their experience of the programme and their career after leaving UCL and we include some real-life graduate profiles on our website.
Why study this degree at UCL?
UCL Security & Crime Science is a world first, devoted specifically to reducing crime through teaching, research, public policy analysis and by the dissemination of evidence-based information on crime reduction.
Crime science is supported by the police, forensic psychologists, applied criminologists, economists, architects, statisticians and geographers, and has been strongly endorsed by the government.
This multi-disciplinary programme draws on expertise in psychology, geography, criminology, philosophy and a range of forensic sciences. Our graduate students come from varied backgrounds; many are practitioners and are encouraged to contribute their experience in and out of the classroom.
Student / staff ratios › 12 staff › 120 taught students › 62 research students
Department: Security & Crime Science
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
Who can apply?
The programme is particularly suitable for students with a background in science subjects such as engineering or computer science, or social science subjects, such as psychology, criminology or geography, who wish to develop the skills necessary for a career or further doctoral research in this field.
- All applicants
- 29 July 2016
For more information see our Applications page.Apply now
What are we looking for?When we assess your application we would like to learn:
- what particularly attracts you to this particular programme
- why you want to study this subject in the Faculty of Engineering Sciences at UCL, rather than elsewhere
- how your academic and professional background meets the demands of this programme
- if you are aware and comfortable with the fact that the programme includes courses on statistics and quantitative analysis, as well as a general emphasis on the scientific method and empirical research
- where you would like to go professionally with your qualification
- if you are aware and comfortable with the fact that the programme differs from a traditional criminology programme, and instead focuses practically on how to prevent and detect crimes by treating the crime rather than the offender as the subject of analysis