Dr. Emilio Ferrara

Professor

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Biography

Emilio Ferrara is a Professor in the Thomas Lord Department of Computer Science at the University of Southern California, where he serves as the Associate Chair. He is also the inaugural Director of the Interdisciplinary Data Science Program within the USC School of Advanced Computing, and holds joint appointments in the Communication and Preventive Medicine departments. He is a Principal Scientist at the Information Sciences Institute, where he directs the USC-ISI Machine Intelligence Data Science (MINDS) center and the PhD program in Computer Science. Ferrara's research focuses on artificial intelligence, data network science, and the impact of technology on human behavior and social systems. He has published over 200 articles in leading scientific venues, with significant work in social networks, machine learning, and network science. His contributions have been acknowledged by major media outlets, and he has received multiple awards including the IBM Watson Big Data Influencer title, DARPA Young Faculty Award, and the Rising Star Science award from Research.com. His work has garnered over $20 million in funding from various prestigious organizations.

Research Interests

Awards

#2022

Rising Stars Science

#2019

Junior Faculty Research Award

#2018

Director's Fellowship

#2016

Young Faculty Award

#2016

Junior Scientific Award

#2015

Big Data Influencer

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.