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Crime Science with Data Science MSc

London, Bloomsbury

The Crime Science with Data Science MSc equips students with the skills and knowledge to develop strategies to tackle real-world security problems using data-driven approaches.

Students will become proficient in the application of data science principles to evaluate and utilise crime and security data through critical assessment, statistical interpretation and an in-depth understanding of data analytics.

UK students International students
Study mode
UK tuition fees (2024/25)
£17,300
Programme also available on a modular (flexible) basis.
Overseas tuition fees (2024/25)
£34,400
Programme also available on a modular (flexible) basis.
Duration
1 calendar year
5 calendar years
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 28 Jun 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Completed applications (those submitted successfully and application fee payment received) will be assessed in batches and you should receive a decision according to the following dates:
Application complete by 5 January 2024 – Decision by 11 March 2024
Application complete by 29 March 2024 – Decision by 28 May 2024
Application complete by 28 June 2024 – Decision by 31 July 2024

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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 and those with a significant component of statistics, mathematics or quantitative methods. For example engineering, computer science or psychology. Alternatively, candidates may qualify for entry if they can offer five or more years of relevant professional experience (for example as a data scientist, data engineer or intelligence analyst).

The English language level for this programme is: Level 3

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.

Further information can be found on our English language requirements page.

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

Crime Science with Data Science MSc is an internationally recognised degree programme, whichemphasises the application of data science and quantitative approaches to address key challenges in the field of crime science. The programme trains its students to develop data-driven techniques to mitigate criminal activity, and enhance the likelihood of identifying and apprehending offenders.

Who this course is for

The programme is particularly suitable for students with a background in science subjects such as engineering, mathematics or computer science, wishing to develop the skills necessary for a career or further doctoral research in this field.

We also accept applications from candidates without a first degree if they have five or more years of relevant experience (for example as a police analyst or data scientist).

Read about what it takes to study for a Master's at UCL

What this course will give you

The Crime Science with Data Science MSc draws on a range of disciplines to equip students with a comprehensive skill set at the intersection of crime analysis and data-driven methodologies. This prepares students to address complex challenges in the field of crime science.

The programme develops proficiency in critical assessment, enabling students to evaluate the impact of crime reduction initiatives through a data-driven lens. Students also gain the skills required to generate evidence-based approaches to tackle multifaceted crime issues, harnessing the power of data science techniques to drive crime prevention strategies.

Read about what you'll get out of a graduate programme

The foundation of your career

Many graduates have built successful careers in the field of crime prevention and detection for public sector employers such as the Home Office, police and Ministry of Defence, or private sector companies with a crime prevention and community safety focus. Other graduates go on to further doctoral research.

Employability

The interdisciplinary nature of this 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 jobs in crime science, 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.
 

Networking

The programme offers an array of networking opportunities such as careers events, seminars and the annual departmental conference, all of which aim to enrich students’ academic experience and professional growth.

These events also provide a platform for students to connect with crime science practitioners and researchers across academia, government and industry, offering a chance to learn from their expertise and establish valuable contacts.

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 datasets, and the development of new ideas for solving problems.

Assessment is through project reports, practical exercises and computer-based tasks, unseen written examination, coursework, presentations, and the dissertation.

Each taught module consists of 150 hours of content, which is a mixture of lectures, seminars, tutorials and self-directed study.

A full-time student can expect to have around 15-20 hours of contact time per week during terms one and two, as well as self-directed study and time spent preparing for assessments.

Modules

Students undertake eight taught modules plus the dissertation. The programme consists of six core modules, two optional modules and a research dissertation.

Full-time students will undertake taught modules in terms one and two, with the dissertation commencing in term two and being completed in the summer term.

Students undertake eight taught modules plus the dissertation. The programme consists of six core modules, two optional modules and a research dissertation.

Modular flexible students should take the module SECU0031 (Foundations of Security and Crime Science) first and a dissertation as their final module, however other modules in the diet can be taken in any configuration in up to five years.

The dissertation will commence in term two and will be completed in the summer term. Students cannot start the dissertation during the first year of registration.

Compulsory modules









Optional modules















Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Crime Science with Data Science.

Accessibility

Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support and Wellbeing team.

Visit us

All open days and events

Online - Open day

Graduate Open Events: Security and Crime Science MSc

Join our open event series to learn more about our MSc courses, future career opportunities and what it's like to be part of our fantastic community. There are also questions for our programme convenors, admission tutors and current students.

Watch on demand event

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £17,300
Tuition fees (2024/25) £34,400

Programme also available on a modular (flexible) basis.

Additional costs

There are no additional costs associated with this programme.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.

Funding your studies

UCL Security & Crime Science is offering a number of scholarships of up to £10,000 to outstanding applicants who have been offered places on one of our MSc programmes.

For further information, please visit our departmental website.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

See all the ways you can fund your studies

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.

There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

You will need to complete our application, making sure to address the below points in your personal statement.

When we assess your application we would like to learn:

  • what 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 after completing your degree
  • 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

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

It is important to note that statistical analysis of crime data is an integral part of all our postgraduate courses. Whilst we do not require students to have a background in mathematics or statistics, it is vital for our students to show an understanding and willingness to learn the concepts of statistics and quantitative research methods.  

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

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Got questions? Get in touch

Security and Crime Science
Security and Crime Science

scs-admissions@ucl.ac.uk

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