Dr. David Steier

Professor

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Biography

David Steier is a Distinguished Service Professor at Carnegie Mellon University's Heinz College of Information Systems and Management, where he specializes in data science, product management, and managing analytics projects. He teaches courses on artificial intelligence and the design of smart systems. Prior to joining Carnegie Mellon, David was the Managing Director of Deloitte Consulting's Data Science practice, where he assisted clients in leveraging advanced data analytics across a variety of industries, including healthcare, banking, retail, and telecommunications. Earlier in his career, he served as Director of the Center for Advanced Research at PwC and as Senior Director of Technology Business Development at Kanisa. David also held the position of Senior Lecturer at the University of California, Berkeley's School of Information, where he was the co-instructor of the data science capstone class for the Master's program in Information and Data Science. His research interests focus on data-driven approaches to behavioral change, particularly in the domains of health and wellness.

Research Interests

Experience

Managing Director

— Present

Deloitte Consulting • New York, NY

Led the Data Science practice, assisting clients with advanced data analytics.

Director

— Present

Center for Advanced Research at PwC • Location

Oversaw advanced research initiatives.

Senior Director

— Present

Technology Business Development at Kanisa • Location

Managed technology business development.

Senior Lecturer

— Present

University of California, Berkeley • Berkeley, CA

Co-instructor for the data science capstone class.

Courses

Demystifying AI Managing Analytic Projects Introduction to Artificial Intelligence

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.