MSc Crime Intelligence And Data Analytics (With Advanced Practice)

You must have a 2:2 degree or higher in a suitable undergraduate subject that contained strong research methods content such as social science, humanities, law, science, engineering.

For general information please see our overview of entry requirements

International applicants can find out what qualifications they need by visiting Your Country

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

You can expect to apply for an intelligence researcher and intelligence analyst role in a wide variety of career opportunities ranging from security, policing and business.

Advanced Practice in Health and Life Sciences

You undertake a research or development internship to gain additional experience, enhancing your employability and academic learning.

Advanced Research Project

This is your opportunity to undertake a major independent practical research project in your discipline. You work independently and to a level recognised to be at the forefront of the discipline.
You complete a hypothesis-driven project using appropriate discipline-specific laboratory, database, or computational research methodologies to interrogate a hypothesis in a specialised area of the investigative sciences.

Delivered through a combination of seminars, supervisor meetings and specialist technical workshops. Key skills in research and knowledge creation are developed through seminars and guided-independent study. You must demonstrate the capacity for comprehensive and objective analysis, and for developing innovative and constructive proposals for the solution to the project topic. Supervisors provide guidance to support you, but a high degree of autonomy is required.

Coding for Intelligence Analysts

You learn basic coding with teaching geared to providing support to first-time coders. Coding is primarily about data analysis, cleaning, and merging data before it’s visualised in charts and tables. Learning some scripts to manipulate tabulated data is a valuable skill – and will become increasingly valuable when dealing with big data. You learn the principles of the programming language Python and how it can be used to change, group, and strip out irregularities in data frames. Performing these simple scripts on large datasets makes life easier – it also provides a platform for you to be able to research on your own with openly available data. Cleansing data in this way makes utilising old favourites like Microsoft Excel much easier too.

You study SQL (structured query language) to develop the skills to grab data from a database. Today everything from mobile phone data to performance business metrics in policing is packaged ready for extraction, provided the user has the knowledge and understanding to ‘query’ its contents.