About the Center for Business Analytics

About the Center for Business Analytics

Empowering Business Through Data-Driven Insight

 

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The center for Business Analytics at the University of New Hampshire, founded in 2021 with a $6 million gift from alumnus Peter T. Paul, is a key part of the Business Analytics Initiative within the Peter T. Paul College of Business and Economics. The center for Business Analytics fosters networking, enhances experiential learning for students, and connects industry partners with the university. Committed to being a student-focused, research-driven resource, the center leverages the expertise of students, faculty and industry leading professionals to tackle complex business challenges through advanced data analytical strategies.

Unlock the Power of Data & Transform Your Strategy Today

Our mission is to turn data into insights that drive growth, informed decisions, and community impact. We connect industry and academia, using student, faculty, and technology expertise to solve real business challenges. 
 

Our Brand Pillars in Action

Partnership

Research & Innovation 

Our faculty and student teams utilize advanced tools to deliver valuable insights, employing predictive modeling and machine learning to support organizations in making informed strategic decisions. The Center partners with companies throughout New England and beyond to address key challenges in data management and analytics, creating mutual value by supporting business innovation and training the next generation of analytics leaders.

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Industry Collaboration

The center serves as a hub for partnerships, collaborating closely with companies throughout New England and beyond to tackle pressing business challenges in data management, strategy, and analytics. Our partnerships create mutual value by assisting businesses in their innovation efforts while also preparing the next generation of analytics leaders.

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Experiential Learning 

The center consultants help businesses leverage their data through hands-on experiential programming with real-world projects. Students gain practical experience in solving business challenges, while businesses benefit from fresh perspectives and advanced analytics. Collaborating with the NH SBDC, UNH student clubs, and various centers, our team effectively addresses challenges in data management, strategy, and analytics.

Driving Value: Partnerships, Projects and Research

We collaborate with organizations to tackle complex business problems using data science, predictive modeling, and business intelligence. Our student-led teams, guided by expert faculty, deliver high-impact solutions tailored to each partner’s needs.

Students gain hands-on experience working with real clients, applying classroom knowledge to solve business challenges. These interdisciplinary projects foster career readiness and innovation while providing companies with fresh perspectives and data-backed strategies.

 

Our faculty bring academic rigor and research expertise to industry challenges. From machine learning applications to supply chain optimization, we co-create solutions that advance both scholarship and practice—translating research into real-world impact.

We offer workshops, certifications, and custom training programs to help professionals and organizations build analytics capabilities and stay competitive in a data-driven economy.

  • Access top-tier student talent and faculty expertise
  • Solve business challenges with data-backed strategies
  • Contribute to workforce development and New Hampshire's economic vitality
  • Build meaningful partnerships that create mutual value
  • Support the next generation of analytics professionals

Let's turn your data into decisions. 

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  • Real-world consulting experience with New Hampshire businesses
  • Resume and portfolio development
  • Networking with industry professionals
  • Career coaching and mentorship
  • Interdisciplinary collaboration across campus

Launch your analytics career with confidence

explore student opportunities    

  • Industry collaboration and data access
  • Interdisciplinary research partnerships
  • Research funding and applied projects
  • Knowledge transfer and commercialization
  • Co-creation of innovative solutions

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