Prospective Students
Engineering Library (Photo: Denise Applewhite)
We welcome your interest in our graduate programs. The Department offers two complementary graduate programs, leading either to a doctoral (Ph.D.) degree or a Master of Engineering (M.Eng.) degree.
Our graduate program has many notable and distinctive features. We have an outstanding faculty including one Nobel Laureate, several National Academy of Science (NAS) and National Academy of Engineering (NAE) members, and many fellows of professional organizations such as IEEE, APS, and ACM. In addition, several of our faculty members have won the Graduate Mentoring Award from Princeton’s Graduate School for their outstanding mentoring and advising of graduate students. The Department also has an outstanding set of associated faculty from other Princeton departments. Associated faculty members interact with faculty and graduate students in the Department and can function as a Ph.D. student’s doctoral research advisor.
The graduate program emphasizes high-quality teaching of core fundamentals, preparing students to excel in research and equipping them with skills to engage in life-long learning. The program’s size allows students to get into the lab quickly and to have regular contact with their advisors and other faculty. Class sizes are small and students are given personal attention both inside and outside the classroom. The program encompasses teaching and research across a broad range of areas, including:
- Biological/Biomedical Engineering
- Communications, Information Theory, Networking, Networked Systems
- Computer Architecture, Multicore Systems, Integrated Circuits
- Large-Area/Flexible Electronics for Display/Sensing/Energy Applications
- Mid-Infrared Photonics, Lasers, and Sensors
- Nanoscale Materials/Devices for Sensing and Energy Applications
- Organic Materials and Devices
- Photonic Systems, Non-linear Optics, Quantum Optics
- Physics of Electronic Materials and Nanomaterials
- Quantum Information/Quantum Computing
- Security in Computing and Communications
- Signal Processing, Machine Learning, and Optimization
Research in the Department is collaborative and interdisciplinary. The Department has fostered research interactions with the Departments of Economics, Chemistry, Physics, Computer Science, Chemical and Biological Engineering, Mechanical and Aerospace Engineering, and Operations Research and Financial Engineering, as well as with the Andlinger Center for Energy and the Environment, the Neuroscience Institute, the Program in Applied and Computational Mathematics, and the Princeton Institute for the Science and Technology of Materials (PRISM). The department offers a joint doctoral degree program with PRISM in the area of materials. In addition to taking courses within the Department, many graduate students also take courses from these other departments and institutes. In addition, the Engineering School offers courses in entrepreneurship and engineering management.
