Sponsoring a Data Mine Project

Why sponsor a data mine project?

  • Talent Access
    • Working with interdisciplinary students for 9 months (compared to 10 weeks in summer)
  • Companies build name recognition
    • Competition with big firms
  • Testing proof-of-concept projects
    • See what innovative students can create before putting internal resources on the effort
  • Completing various odd projects
    • Projects that are known to add value but haven't made the priority list or had the resources to work on - stuck in the backlog
  • Data Mine Project Mentor

    All Data Mine projects require a mentor from the sponsoring company. The mentor does not have to be a data scientist, but the mentor must be able to support students working on the project.

    • Project Description

      The project description gives an overview of your project. The project description consists of only 3 slides and ultimately helps students select the project that is right for them.

      • Use company-branded slides
      • Slide 1
        • About your company
        • Include company name, location, and brief description of company (pictures are encouraged)
      • Slide 2 & 3
        • One sentence high level project overview
        • Include keywords, specific tools/skills that will be used, preferences for student profile, and citizenship status
      • Project Charter

        While the project description slides assist students in having a high level understanding of your project, the project charter outlines what they are working towards and why it is important in detail.

        • About the company
          • What does your company do?
          • History
        • About the specific department/team the project falls under
          • What is your team's role in relation to the company?
        • About the Mentor
          • Title
          • Summary of job responsibilities
          • Contact
          • Availability
        • Tenative Schedule
          • Please be mindful of holiday and academic calendars.
        • Getting Started (while the specific project goals may change over an academic year, it helps to outline overall goals and milestones)
          • Fall
            • Sprints
            • Typically understanding the data, exploration, conduct research on proposed methodology, etc.
          • Spring
            • Sprints
            • Deployment
            • Outlook for a good stopping point prior to the end of the academic year
        • Expectations
          • It is understood that this project is intended to be a learning experience; there are no guaranteed deliverables, outcomes, or performance. Having said that, outlining expectations for the students enables them to work towards the project goals.
        • Preparations
          • Reviewing Materials
            • What required materials should the students review to understand the project? (Videos, literature, articles, etc.)
          • Tools and Software
            • Identify tools and softwares the students need to know to be successful on this project.
          • Hardware
            • Identify required hardware or computing the students need access to in order to be successful on this project.