Since the MSBA Program focuses on advanced techniques in predictive and prescriptive analysis (including statistical, data mining, optimization, forecasting, and simulation analysis), we would consider any Project which requires students to apply these techniques to real-world data.

While students will typically end up doing some data cleaning, feature engineering, descriptive analysis, and visualization work as part of their projects, these can't be the only deliverables on the Project.

Also, unlike a CS program that would focus on algorithm performance/optimization and product development, the MSBA program focuses on the domain, methodology, modeling, interpretation of results, and connecting the results back to the Business. So while students will deliver on all the scripts required to achieve the end to end flow of the project, system building efforts (such as UI development or DW implementation) would be outside the scope of the MSBA Program.

The following timelines must be met in fall, for a spring start on applied projects.If you would like additional meetings, please add them to your project submission.

• Aug 28, 2020: Client confirms interest in project sponsorship
• Sept 11, 2020: Client submits the first draft of project definitions completed (using template); NDA processing begins
• Oct 9, 2020: Client submits a final draft of project definitions completed; Processing of NDAs completed
• Nov 13, 2020: Client provides required data, tools and platform access to student team and advising faculty
• Dec 4, 2020: Client sets up project kick-off meeting with the student team and advising faculty
• Jan 11 - Apr 30, 2021: The client provides access to project liaisons who will be available throughout the project execution phase, to answer domain-related and data-related questions, as well as to provide required guidance to keep the project on track.

To apply for this course, please use the Applied Business Analytics project template - provided below