Structured Problem-Solving like Consultants

In partnership with Princeton University’s Graduate Consulting Club (PUGCC), GradFUTURES is offering a 4-part series that familiarizes you with frameworks of problem-solving for consulting cases and presents opportunities to solve different types of cases. Assignments emphasize experiential learning, and include building an Excel model and PowerPoint deck for data analytics and data-driven storytelling. Food will be served!

Learning Objectives

  • Develop familiarity with what consultants do in practice
  • Demystify the networking and case interview process 
  • Gain experience with hypothesis-driven problem-solving approaches
  • Acquire tactical skills necessary for consulting success
  • Learn how avoid the most common pitfalls of new consultants
  • Develop core skills in data analytics using Excel and data-driven storytelling using PowerPoint for consulting
  • Get a sense of the roles and responsibilities of members of a consulting team
  • Have fun and take chances in a risk-free environment!

Upcoming Events

Check back soon!

Facilitators and Organizers

Brendan Boler
Assistant Professor, University of Virginia Batten School of Leadership and Public Policy
Sonali Majumdar
Assistant Dean for Professional Development
Ke (Kevin) Xu, GS, CBE
Professional Development Associate 2020-21
Social Impact Fellow
Clio Hall Award Recipient

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About GradFUTURES Learning Cohorts


GradFUTURES’ interdisciplinary learning cohorts build community among and between graduate students and reinforce each student’s graduate training while drawing on their content knowledge to inform the cohort’s investigation of the topic. As part of the cohort, students will read and discuss books, articles, and case studies. Learning cohorts typically also include at least one experiential component such as an immersive project, a site visit, conference presentation, or fellowship/internship opportunities. Interdisciplinary discussions, reflection, synthesis, community building, and immersive experiences are integral components of each learning cohort experience.