Dr. Sara Beckman

Assistant Professor

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Biography

Sara L. Beckman is a Teaching Professor and Earl F. Cheit Faculty Fellow at the Haas School of Business, University of California, Berkeley. Her expertise lies in integrating design, sustainability, and innovation within business contexts. Beckman has held various faculty positions and served as the Chief Learning Officer at the Jacobs Institute for Design Innovation. She teaches courses that emphasize collaborative innovation by merging perspectives from art practice, theater, performance studies, and business. Beckman's research includes developing a curriculum focused on teaming diversity and contributes to design sustainability and innovation. Her leadership role in the Product Management Program at Berkeley Executive Education serves a global audience of product managers. Recognized with multiple teaching awards, including the Distinguished Teaching Award at UC Berkeley, she is committed to advancing educational methodologies in engineering and business through innovative design practices. Previously, she worked in Operations Management at Booz Allen & Hamilton and Hewlett-Packard, enhancing change management initiatives. Beckman earned her BS, MS, and PhD in Industrial Engineering and Engineering Management, as well as an MS in Statistics, all from Stanford University.

Research Interests

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.