Master of Science in Data Science

Data Science Capstone Experience

The Master of Science Data Science Capstone is a 1 term, 16-week interdisciplinary team-based online learning experience for demonstrating in-demand workforce skills and exploring new AI methodologies, developing innovative solutions and driving AI adoption for real world challenges and evolving landscapes. 
 
We’re committed to providing students with a rigorous, relevant, and rewarding educational experience and provide students with opportunities to showcase their excellence and develop in demand skills on real world challenges. This capstone provides an excellent opportunity for students to truly apply and test their domain knowledge and expertise over the term learning from your guidance and real-world challenges. 
 
If you are interested in collaboration opportunities like serving as a partner for an upcoming Capstone project, please complete this form. For additional information about the Online Capstone Experience, please contact us at POCapstone@purdue.edu.

Ready to dive into the world of Data Science?   

Students

This capstone provides an excellent opportunity for students to truly apply and test their domain knowledge and expertise over the term learning from partnership guidance and real-world challenges. You will work alongside and collaborate with student peers and faculty mentors to tackle these challenges and deliver a professionally formatted project deliverable and presentation to partners, faculty and peers. For more information about the capstone, please contact POCapstone@purdue.edu.  


Capstone Requirements: 

The Capstone course is designed to utilize all the knowledge gained throughout the program. To ensure student success, we recommend that students take the capstone course after completing approximately 70% of the program (21 credits). Additionally, the course has the following prerequisites that need to be completed with a B- or better prior to starting capstone. 

Master of Science in Data Science students: (GRAD 58800 Online Master of Science in Data Science – Capstone

In this capstone experience, you will:  


Partners 

We are seeking partners on real-world, problem-based or project-based challenges to guide graduate student teams in upcoming terms. These projects serve as the Capstone for students completing the online Master’s in Data Science and Master’s in Artificial Intelligence program. We welcome partners from academia, industry, non-profit, and the public sector who can: 

Projects do not need to be AI-focused, but should allow students to build towards or explore AI adoption, integration, or application strategies and solutions 
 
Don’t Have a Project? We have project placement opportunities for partner roles! 
Have multiple Projects? We offer opportunities for multiple projects or have multiple teams working on a project in a term! We ask that you confirm you have the time availability for each of the separate teams. 
 
If you are interested in serving as a partner for an upcoming Capstone project, please complete this form. For additional information about the Online Capstone Experience, please contact us at POCapstone@purdue.edu.


Highlights of the Online Capstone Experience include: 

  • Multidisciplinary Teams: Students from the Master’s in Data Science program and the Master’s in Artificial Intelligence program (AI and Machine Learning or AI Policy and Management Majors) collaborate to bring together both technical and managerial perspectives, ensuring a well-rounded approach to each project 
  • Focused Effort:  Graduate Student Teams + Purdue Faculty Mentor  
  • Flexible: 100% remote, asynchronous communication, while also offering optional opportunities for synchronous collaboration 
  • Learning Experience: Focused on innovative, real-world applications, this experience is grounded in the technical learning and expertise of our Purdue faculty. Please note that outcomes may vary and are not guaranteed 
  • Student Design and Development: Our diverse student population representing a wide range of industries and many with leadership experience will collaborate to identify, design and test potential solutions to read-world challenges 
  • Showcase Excellence: Student Presentations and professionally formatted artifacts 

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