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MEDS Capstone Projects

Master of Environmental Data Science Capstone Projects are a unique and important component of the Bren School's approach to environmental data science. Capstone Projects bring together teams of 3-4 students to build real world experience and skills to solve environmental problems using data science. These skills include excellent academic training as well as the ability to successfully work and communicate as a member of a team and manage a professional data science related project.

The Capstone Project provides students an opportunity to work together to design, conduct, and present a professional environmental data science product.

In their Capstone Project, students collaborate with real-world clients, which may be internal clients (Bren School faculty, other UCSB researchers) or outside clients from industry, government, or non-government organizations. In their project proposal, clients must present a problem that can be addressed and solved by the Capstone Project. All Capstone Projects begin in Winter Quarter and end in Spring Quarter. 

Projects leverage data science and analysis coupled with understanding of environmental science and project management skills. Students gain professional experience through managing group dynamics, designing and implementing strategies, managing stakeholders, writing technical documentation, communicating product demonstrations, and developing data science products that are retrievable, reproducible, and robust.

Current MEDS Capstone Projects

From siting wind and solar projects, to snow cover data visualizations, MEDS students and their project partners are tackling global environmental problems with data-driven solutions. A handful of capstone projects are featured here. Explore all the MEDS capstone projects in the project directory

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Capstone Timeline

Bren School releases a MEDS Request for Proposals. Proposals for MEDS Capstone Projects may be submitted by faculty, students, and prospective clients.

Submission period for new proposals ends. A committee of students, faculty, and staff selects appropriate projects. Students vote on and join project teams at the end of Fall Quarter.

Students meet clients, refine project objectives, develop a design and implementation plan, host a meeting with the client and advisors, and begin preliminary product development.

Students complete data science products, write technical documentation, host a meeting with the client and advisors, and present their work in a final product demonstration or visualization.

Are you ready to solve environmental problems?

Request more information, get to know the Bren School, and start planning your application today.

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