The capstone project provides an opportunity for organizations and learners to collaborate to identify and translate real crime fighting needs into an analytics problem. The project also includes data collection & preparation, data modeling and analysis with the potential to include predictive modeling, machine learning implementation, and a solution deployment plan. Capstone project results/recommendations will be communicated in a report document and a final presentation.

You should submit a high-level proposal/crime-related problem statement including relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Crime datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and business problem. The capstone course instructors will review the documents to confirm the scope and timing of the proposed problem and its alignment with the capstone course requirements.

Analytics solution may be applicable for (however they are not limited to) the following topics:

1. Intelligence Analysis
2. Criminal Investigative Analysis
3. Tactical Crime Analysis
4. Strategic Crime Analysis
5. Administrative Crime Analysis

To ensure students’ learning objectives are achieved, we recommend that the datasets are at least 20,000+ rows in size. Data need not be ‘clean’; it is advantageous to the students’ learning experience to require hygiene prior to analysis. Similarly, if more than one database is provided, which must be conjoined, students will be required to integrate them. This supports the learning experience and minimizes partner data preparation.

Note: Students can sign a NDA, if required.