Dr. Michael Jordan

Professor

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Biography

Michael Jordan is a statistician and computer scientist known for his work in machine learning and artificial intelligence. He is currently a Directeur de Recherche at Inria l'Ecole Normale Supérieure in Paris and previously held the position of Distinguished Professor Emeritus at the University of California, Berkeley. Jordan has a rich academic background, having been a professor at MIT from 1988 to 1998 and also at Berkeley since 1998. He has been honored with numerous awards, including an Honorary Doctorate from Yale University and membership in the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. His research focuses on statistical learning and artificial intelligence, establishing him as a leading figure in these fields.

Research Interests

Machine Learning Artificial Intelligence Statistical Learning

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.