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MSc Crime Science with Serious Organised Crime

  • DeadlineStudy Details: MSc 1 year full-time

Course Description

This MSc programme provides students with a thorough understanding of how science and scientifically-based techniques can tackle challenges in serious and organised crime. This ranges from disrupting the networks within which crime groups operate, gaining insights into their structure, and developing techniques for detecting and mitigating immediate and sustainable reductions in crime.

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 visit website to find out more.

Student Destinations

The interdisciplinary nature of the programme equips its graduates with transferable skills such as problem solving, quantitative and qualitative analysis, research methods and critical thinking. These skills open the doors to a wide range of career paths. 

Examples include front-line careers in crime prevention, such as intelligence and crime prevention analysts; jobs in research and policy, ranging from the civil service and academia to NGOs and think-tanks; and careers in the private sector, covering areas such as data science, risk management, fraud and security analysis.

Module Details

Compulsory modules

  •  Designing and Doing Research
  •  Quantitative Methods
  •  Foundations of Security and Crime Science
  •  Perspectives on Organised Crime
  •  Human trafficking, smuggling and exploitation
  •  Security and Crime Science Dissertation

Optional modules

  •  Qualitative Research Methods
  •  Understanding Multivariate Modelling and Causal Inference
  •  Preventing Crimes
  •  Crime Mapping and Spatial Analysis
  •  Investigation and Detection
  •  Intelligence Gathering and Analysis
  •  Prevention and Disruption
  •  Risk and Contingency Planning
  •  Introduction to Cybersecurity
  •  Cybercrime
  •  Horizon Scanning and the Changing Nature of Crime
  •  "Economic Crime: Past, Present and Future"

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