Crime Science

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, for example engineering or computer science; or social science subjects, for example, 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).

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.

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses

This MSc provides students with a thorough understanding of how science and scientifically based techniques can deliver immediate and sustainable reductions in crime. The programme focuses on how to better apply science to understand crime problems, develop strategies for preventing them, and increase the probability of detecting and arresting offenders.

The UCL Security and 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.

The Crime Science MSc is a multidisciplinary degree, drawing on expertise in psychology, social science, statistics, mathematics, architecture, forensic sciences, design, geography and computing.

Our graduate students come from varied backgrounds; many are practitioners and are encouraged to contribute their experience in and out of the classroom.

The programme is delivered through lectures, seminars, tutorials, projects, laboratory classes, and practical exercises. Practical work will involve the analysis and interpretation of datasets, and the development of new ideas for solving problems. Assessment is through lab and project reports, unseen written examination, coursework, presentations, and the dissertation.