20. Addressing real-world crime and security problems with data science – 4CBLW00-20

The objective of this project is for students to learn how to perform large-scale data-driven analyses for a real-world problem. Students will have to combine technical expertise and data analytics skills with insights gained in methodological courses. The task for the students in this project is to complete the cycle of identifying relevant stakeholders and analysis questions for a broadly defined problem, designing and executing the analysis, and presenting the findings for a non-technical stakeholder. In previous years, students worked with real, large-scale crime data for an international stakeholder (e.g., Metropolitan Police Service London). The same or similar data may also be provided this year. There will be opportunities to interact with the stakeholder (e.g., from the operational, governmental and policy-making level in a global city like London). At the end of their project, the students present their findings and provide recommendations to the stakeholder in a non-technical manner. Students independently acquire the technical and methodological knowledge for completing the project through self-studies driven by the concrete problem at hand, directed and supervised by tutors and teachers.

Data Science students are required to choose Project 20: 'Addressing Real-World Crime and Security Problems with Data Science.' This project is a mandatory part of the Data Science curriculum.