The capstone project provides an opportunity for organizations, businesses, partners, and learners to collaborate to identify and translate a real problems into an analytics problem. Students can research, apply analytical models, methodologies, and tools learned in the program to analyze data sets to predict trends and challenges, and investigate with the purpose of developing analytics solution for your organization. The project can include elements of data collection & preparation, data modelling and analysis with the potential to include predictive modelling, machine learning implementation, constructing dashboards or spreadsheets, programming, statistical analysis, 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/business problem statement including relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and the project. 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 a wide range of topics

Note: Students can sign a NDA, if required.