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Data Science Capstone

The Capstone experience is a collaborative, team-based immersion in sponsored data science and AI projects that address real-world challenges from start to finish. For students, it is the application of the cumulative coursework required for the M.S. in Data Science program. For sponsors, it is the opportunity to both connect with the next generation of data scientists and to leverage additional resources for critical work.  We welcome sponsors from all backgrounds and focus areas and are open to engagements ranging from a single semester to multi-year collaborations, depending on project needs and mutual interest.

For information on the application, check out how to sponsor a Capstone.

Process Close Icon Close

  • Prospective project sponsors submit proposals to the capstone director on a rolling basis.
  • Sponsors present their projects to students at the Capstone Open House where students can ask questions.
  • Students individually rank each project in order of preference  
  • Student teams are formed using a combination of algorithm and manual adjustments.
  • A faculty mentor is assigned to each team based on background and interests.  
  • Each mentor holds weekly meetings with their teams to provide technical and project management support.
  • Each sponsor holds regular meetings with their team to provide guidance and subject matter expertise 

Timeline Close Icon Close

M.S. in Data ScienceResidentialOnline
For projects startingAprilAprilNovember
Applications due (earlier submission encouraged)Feb. 15Feb. 15Nov. 15
Sponsor open house and matching processLate March-Early AprilLate March-Early AprilLate October-Early November
Progress reportsJune and JulyJune and JulyFebruary and March
DeliverablesLate July-Early AugustLate July-Early AugustLate April-Early May
Final presentations and technical paperEarly AugustEarly AugustEarly May
Project endsEarly AugustEarly AugustEarly May

Past Projects and Partners Close Icon Close

We collaborate with organizations across industry, government, academia, and the nonprofit sector, connecting academic expertise with pressing operational and strategic needs. Please explore our current and past projects to get a sense of the variety of interests and experiences of our sponsors and students. 

People Close Icon Close

Our community brings together talented students, expert faculty mentors, and engaged sponsors working side by side to deliver impactful, data-driven solutions. Faculty mentors are sourced primarily from the School of Data Science.  

 

Adam Tashman headshot circle crop

Adam Tashman is an associate professor of data science and director of the Data Science Capstone Program. He brings extensive cross-sector experience spanning technology, health care, finance, and government, with senior data science leadership roles at organizations including Amazon Web Services and Citi. His background in applied mathematics, AI, and large-scale analytics informs a capstone program grounded in rigor, impact, and practical relevance.

 

 

Rebecca Schmidt

Rebecca Schmidt is the director of impact and applied learning and is part of the School’s Office of Community Affairs. She partners with the capstone director to support and cultivate sponsor relationships, as well as promote the program and measure impact.

 

 

Kylen Baskerville headshot circle crop

 

Kylen Baskerville serves as program manager for the M.S. in Data Science Program. She assists the capstone director with communication, event planning, and capstone logistics.