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MSc Crime Science

  • DeadlineStudy Details: 1 year - 5 years

Masters Degree Description

Multidisciplinary scientific approaches are rapidly becoming one of our most effective weapons in the fight against crime. This Crime Science MSc will give you the tools and knowledge you need to understand, prevent and reduce crime using scientific methodologies, preparing you for a career in crime prevention.

Entry Requirements

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).

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Fees

For fees and funding options, please website to find out more

Programme Funding

Scholarships available, please visit website for details.

Student Destinations

Our graduates are fully equipped for exciting careers on the frontlines of crime science, in areas such as intelligence and crime prevention analysis.

Module Details

Compulsory modules

  • Preventing Crimes
  • Foundations of Security and Crime Science
  • Security and Crime Science Dissertation
  • Crime Mapping and Spatial Analysis
  • Perspectives on Organised Crime
  • Investigation and Detection
  • Intelligence Gathering and Analysis
  • Risk and Contingency Planning
  • Introduction to Cybersecurity
  • Qualitative Research Methods
  • Cybercrime
  • Horizon Scanning and the Changing Nature of Crime
  • Applied Data Science
  • Simulation for research
  • Online Extremism and Hate Crime
  • Assessing Extremism Risk
  • Understanding Multivariate Modelling and Causal Inference
  • Human trafficking, smuggling and exploitation

Optional modules

  • Crime Mapping and Spatial Analysis
  • Perspectives on Organised Crime
  • Investigation and Detection
  • Intelligence Gathering and Analysis
  • Risk and Contingency Planning
  • Introduction to Cybersecurity
  • Qualitative Research Methods
  • Cybercrime
  • Horizon Scanning and the Changing Nature of Crime
  • Applied Data Science
  • Simulation for research
  • Online Extremism and Hate Crime
  • Assessing Extremism Risk
  • Understanding Multivariate Modelling and Causal Inference
  • Human trafficking, smuggling and exploitation
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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