Electrical Engineering

Research Areas

• Communications
• Information Theory
• Signal Processing
• Smart Electric Energy (Smart Grids)
• Cybersecurity
• Quantum Communications
• Quantum Computing
• Sensor Systems
• Sustainable Computing (Green Computing)

Research Areas

• Photonics
• Bioelectronics
• Biomedical Imaging
• Biomedical Optics
• Image Processing
• Women's Health
• Cardiovascular Imaging
• Cardiac Electrophysiology

Research Areas

• Security and Privacy
• Networks and Distributed Systems
• Cloud Computing
• Data Privacy
• Edge Computing
• Internet of Things (IoT) and Industry 4.0
• Networked and Distributed Systems
• Wireless, Embedded & Sensor Systems
• Cybersecurity
• Sustainable Computing (Green Computing)
• Communications
• Networking
• Smart Electric Energy (Smart Grids)
• Electric Vehicles
• Public Policy
• Multimedia Systems

Why Earn your PhD in Electrical Engineering at Columbia?

Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for unmatched opportunities and impact.

As a student, you’ll benefit from:

• New York City
  Join top talent in one of the world’s most exciting and influential cities. Students choose Columbia Engineering over MIT, Berkeley, and others because of the New York City ecosystem of research and enterprise that can’t be found anywhere else. 
   
• Diverse Multidisciplinary Research Opportunities
  Solving humanity’s most difficult challenges requires input from many disciplines. Join experts from other fields in research institutions like Columbia Nano Initiative, Data Science Institute, and the Center for Computational Biology and Bioinformatics. 
   
• World-Class Faculty
  Join a department of accomplished scholars and passionate instructors engaged in cutting-edge research in areas like nanoscale photonics for extreme data transfer efficiency, next-generation electrical energy infrastructure, and brain-computer interfaces. 
   
• Columbia University
  With a PhD from Columbia, you’ll join one of the world’s most international, accomplished networks of researchers and alumni. Your Ivy League credential will open doors wherever you go and the relationships you build here will accelerate your career. 

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Why Get your Master's in Quantum Science and Technology at Columbia?

Columbia Engineering provides a rigorous Ivy League education in an atmosphere charged with innovation in the heart of a dynamic global city.

As a student here, you’ll benefit from:

• Incredible Research Environment:
  Join a rich community of exploration and innovation across schools and departments, including the Columbia Quantum Initiative, the School of Engineering, and the Center for Computational Quantum Physics, with scores of researchers working on areas ranging from quantum computing to photonics to quantum materials. 
   
• Strategic Partnerships
  Benefit from Colombia's position within a network of universities, research organizations, and industry partners through the Columbia Quantum Initiative to access extended opportunities for research, internships, and job connections.  
   
• Multi-Disciplinary Expertise:
  Learn from active scholars and researchers within several departments of the School of Engineering and the Department of Physics, gaining insights and perspectives from diverse fields for a broad career preparation. 
   
• Flexible Curriculum:
  Choose to focus your training in areas that match your career objectives, including quantum computing, photonics, and nanoscale technology, with a selection of electives within Engineering and Physics tracks. 

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Why Pursue a Master's in Electrical Engineering at Columbia?

Columbia Engineering provides a rigorous Ivy League education in an atmosphere charged with innovation in the heart of a dynamic global city. As a student here, you’ll benefit from:

• Highly-Customizable Curriculum
  Take advantage of 9 different tracks in areas of specialization like networking, integrated circuits, systems biology, and photonics to prepare for in-demand jobs. Or, create a personalized curriculum to pursue a unique path of exploration. 
   
• Broad Research Opportunities
  Build your résumé and contribute to pioneering research by joining with faculty in an array of labs and research centers including the Lightwave Research Laboratory, Bioelectronic Systems Laboratory, and the Columbia Nano Initiative.
   
• World-Class Faculty
  Join a department of accomplished scholars and passionate instructors engaged in cutting-edge research in areas like nanoscale photonics for extreme data transfer efficiency and brain-computer interfaces. 
   
• Outstanding Placement
  Graduates in Electrical Engineering from Columbia are known for their technical knowledge, research skills, and creativity as problem solvers. Our students receive offers from top employers and graduate programs.  

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Why Get your Master's in Computer Engineering at Columbia?

Columbia gives you a rigorous Ivy League education in the heart of a vibrant global city for an experience unlike any place else.

As a student here, you’ll benefit from:

• Two In-Demand Areas
  Build skills and knowledge in both computer science and electrical engineering, giving you the flexibility to pursue a broad range of opportunities in growing industry sectors.  
   
• Broad Research Opportunities
  Contribute to pioneering research and build an impressive résumé with opportunities across an incredible array of laboratories and research centers including the Computer Architecture, Bioelectronic Systems, and Wireless and Mobile Networking labs.
   
• World-Class Faculty
  Join a department of accomplished scholars and passionate instructors engaged in cutting-edge, cross-disciplinary research in areas like computer architecture, hardware security, networks, and distributed embedded systems.
   
• Outstanding Placement
  Graduates in Computer Engineering from Columbia are known for their technical knowledge, research skills, and creativity as problem solvers. Our students receive offers from top employers and graduate programs.  

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Research Areas

• Neuroengineering
• Biomedical Imaging
• Biosignals
• Biomedical Image Analysis
• Brain-Machine Interfaces
• Personalized Medicine and Patient-specific Modeling
• Wearable Devices
• Signal Processing
• Brain-Computer Interfaces

Research Areas

• Artificial Intelligence (AI) and Machine Learning (ML)
• Vision and Robotics
• Augmented Reality (AR) and Virtual Reality (VR)
• Edge Computing
• Human-Computer Interaction (HCI)
• Networked and Distributed Systems
• Robotics and Autonomous Systems
• Wireless, Embedded, and Sensor Systems
• Computer Systems and Computer Engineering
• Smart Electric Energy (Smart Grids)
• Energy Efficiency and Conservation Technology
• Wearable Electronics (Technology)