Program Logistics
All GQPs employ timeline planning, assessment, reflection, implementation, and product delivery for completion of the project.
Through the GQP process, students strengthen the following skills and ideas:
- apply state-of-the-art techniques and technologies to tackle complex data challenges
- engage in interdisciplinary team experiences, deepening their academic training via practical experiences
- get exposed to new techniques and technologies in data science, expanding their repertoire of skills
- set and meet milestones for the project monitoring their and their team’s progression through the project
- provide constructive suggestions to stakeholders relaying the technical results in a professional manner
- maintain a positive and productive relationship with the team, mentors, and sponsors
- submit well-documented deliverables to sponsors from software, recommendations, reports, and/or presentations
- establish professional connections and experiences instrumental for their long-term professional careers
Our Industry Partnerships
WPI’s Data Science Executive Advisory Board prioritizes industry partnerships with exceptional corporations, both regionally and internationally. Their participation and our other top executives are imperative to helping drive the success of our program and to meeting the needs of corporate America, particularly in conjunction with our sponsored GQPs, which give students the opportunity to work on real-world problems for the businesses with whom they collaborate.