Data Science Capstone

Capstone Sponsorship

Data Science Capstone projects operate within the academic setting of the Master of Science in Data Science program and other Graduate programs.  A Data Science Capstone project aims to apply students’ knowledge of Data Science methods and technologies to real-world data. It is intended to facilitate student learning by allowing them to gain experience working with real datasets and interact with sponsoring Data Science researchers. This provides a pathway for students to develop a track record for applied Data Science and gain insights into potential future opportunities. In turn, sponsors can benefit from these projects by developing relationships with students and faculty throughout the project’s timeline and bringing brand awareness to their company.

Sponsor Objective & ROI

The objective of the sponsor is to designate a project, serve as a liaison and mentor for students’ questions, and offer innovative approaches from their industry. Sponsors are typically a representative of an external organization (industry, government, non-profit organization, etc.) or a Texas A&M faculty member. Sponsors are responsible for posing the project’s problem, providing the data, explaining the project goals and context, and guiding students throughout the execution of their project. In return, sponsors receive brand awareness for their company and potentially earn more revenue. They are also the point of contact for TAMIDS for administrative matters associated with the project.

Timeline

Past Capstone Projects

• Creating Precision Livestock Farming Digital Twin with Cameras and Sensors
• CityVista: A Comprehensive Dashboard for Urban Analytics and Decision-Making
• Deep Learning Implementations for Hyperspectral Image Analysis
• Simulation and Visualization of Chemical Leaks for Improved Risk Assessment
• Physics-Informed Neural Networks for Computational Flow Problems
• Developing Crop Monitoring Systems Using Satellite Imagery

Resources

• Data Science Capstone Program Flyer
• Data Science Capstone Handbook