This course is the required individual project course for all students seeking the Master of Science in Applied Data Science. It is intended to be a capstone course that will bring together many of the topics that were covered in the rest of the curriculum. For this reason, students will be expected to take this course as their final paper with no outstanding credits required for award of their MSc and will be allotted 6 months to complete the project. The project must encompass all areas relating to the Data Science Process: Data Retrieval from disparate sources, pre-processing and cleaning, preparation and modeling. The data used MUST be a combination of structured and unstructured, and be relatively large.
The student is required to complete their work as an Individual project.
The final mark for each project will be based on documents, artifacts, presentations and demonstrations (where appropriate) of the following:
Project Plan/Proposal 10%
Technical Documentation 25%
Software artifacts 25%
Final Presentation 40% o Management Report
o Presentation and demonstration of the final product
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