Electrical and Computer Engineering

Carnegie Mellon’s Department of Electrical and Computer Engineering (ECE) is at the forefront of today's ever-evolving technology landscape, preparing its students to become leaders in the field by developing their engineering skills, creativity, and the practical understanding needed to innovate impactful solutions. The department is engaged in pursuing and disseminating knowledge across a wide range of areas, including energy, healthcare, mobile systems, smart infrastructure, nanotechnology, storage systems, cyber-physical systems, data and network science, and more.

Innovate

Programs

Undergraduate

Master’s

Ph.D.

Welcome to ECE

ECE graduates go on to...

Work at companies like:
  • Adobe
  • Alibaba Group
  • Amazon
  • Apple
  • Boeing
  • Capital One
  • Cisco
  • Facebook
  • General Motors
  • Google
  • Intel
  • Microsoft
  • NVIDIA
  • Qualcomm
  • Tesla
Pursue graduate degrees or careers in academia at universities like:
  • Carnegie Mellon University
  • Columbia University
  • Johns Hopkins University
  • Massachusetts Institute of Technology
  • Rice University
  • Stanford University
  • University of California Berkeley
  • University of Michigan
  • University of Wisconsin

Research areas

Energy

Healthcare and quality of life

Mobile systems

Smart Infrastructure

Nanotechnology

Storage systems

Intelligent physical systems

Data and network science

Secure systems

Research facilities and engagements

Labs

ECE is home to several world-class research facilities, including the Advanced Chip Test Laboratory, the Computer Architecture Lab, the Data Center Observatory, the Microelectromechanical Systems Lab, and the Claire and John Bertucci Nanotechnology Laboratory.

Centers

ECE faculty and students contribute to several research centers across the university, including the CONIX Center, CyLab Security and Privacy Institute, CyLab Biometrics Center, Data Storage Systems Center, General Motors-Carnegie Mellon Connected and Autonomous Driving Collaborative Research Lab, and Parallel Data Lab.

News

Sep 16

Artificial Intelligence

Automated tuning of large-scale neuronal models

Researchers introduce new framework, Spiking Network Optimization using Population Statistics, to intelligently customize models that reproduce activity to mimic what’s observed in the brain.

The winningest team in DEF CON’s Capture-the-Flag (CTF) competition history, CMU’s Plaid Parliament of Pwning (PPP), won its third straight title, earning its record eighth win in the past 12 years.

CMU hacking team wins eighth DEF CON Capture-the-Flag title

Jun 13

News & Events

Engineering students awarded Fulbright Scholarships

Six students and alumni from the College of Engineering will research and study abroad on Fulbright program scholarships.