Bachelors in Electrical and Computer Engineering

4 Years On Campus Bachelors Program

Princeton University

Program Overview

The Bachelor of Science in Electrical and Computer Engineering at Princeton University provides a multidisciplinary education that integrates computer science, materials science, energy, physics, biology, neuroscience, economics, management, and public policy. The program prepares students to design and advance technologies shaping modern society, including communications, autonomous vehicles, smart cities, quantum computing, and energy-efficient systems.

Course Overview:

Current Course Offering:

  • Introduction to Computing: Programming Autonomous Vehicles

  • Contemporary Logic Design

  • Sophomore Independent Work

  • Robotic and Autonomous Systems Lab

  • Mathematics for Numerical Computing and Machine Learning

  • Electronic and Photonic Devices

  • Introduction to Robotics

  • Machine Learning for Predictive Data Analytics

  • Computer Architecture and Organization

  • Introduction to Quantum Computing

  • Junior Independent Work

  • Machine Learning and Pattern Recognition

  • Solid-State Physics I

  • Solid-State Electronic Devices

  • Biosensing and Diagnostics

  • Optical and Quantum Electronics

  • Design of Very Large-Scale Integrated (VLSI) Systems

  • Computer Networks

  • Digital Signal Processing

  • Fundamental Image Processing: From Mars to Hollywood with a Stop at the Hospital

  • High-Tech Entrepreneurship

  • Senior Thesis I (Year-Long)

  • Quantum Mechanics with Applications

  • Extramural Research Internship

  • Automated Reasoning about Software

  • Selected Topics in Computer Engineering and Information Sciences

  • Selected Topics in Solid-State Electronics: Advanced Electronic/Optoelectronic Materials

  • Foundations of Reinforcement Learning

  • Robot Planning Meets Machine Learning

  • Safety-Critical Robotics and AI

  • Machine Learning and Pattern Recognition

  • Special Topics in Information Sciences: Theory of Deep Weakly Supervised Learning

  • Nonlinear Optics

  • Fundamentals of Nanophotonics

  • Design of Very Large-Scale Integrated (VLSI) Systems

  • Implementations of Quantum Information

  • Security and Privacy in Computing and Communications

  • Advanced Topics in Computer Engineering: Domain-Specific Computer Systems Architecture

  • Wireless and High-Speed Integrated Circuits and Systems

  • Electrical Engineering Graduate Project Course

 

Experiential Learning (Research, Projects, Internships etc.)

  • Junior and Senior Independent Work: Original research or design projects.

  • Senior Thesis: Mandatory, spanning two semesters.

  • Laboratory Courses: Robotics, circuits, devices, and hands-on labs.

  • Open House Events: Showcase student projects and engage with faculty.

  • Interdisciplinary Research Opportunities: Cutting-edge research in areas like AI, semiconductors, photonics, and bioengineering.

Progression & Future Opportunities

  • Graduate Outcomes: Many pursue advanced degrees in engineering, business, law, or medicine.

  • Employability: Graduates join top companies like Google, Intel, and Microsoft, as well as research labs, startups, and government agencies.

  • Career Readiness:

    • Strong analytical, technical, and leadership skills.

    • Career support through Princeton’s Center for Career Development.

  • Leadership: Alumni become leaders in industry, academia, government, and entrepreneurial ventures.

Program Key Stats

$65,210
$ 70
Aug Intake : 1st Jan


4 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1510 - 1580
34 - 35
8.0
108

Additional Information & Requirements

Career Options

  • Technology Engineer
  • Software Developer
  • Systems Designer
  • Research Scientist
  • Consultant
  • Data Analyst
  • Robotics Engineer
  • Financial Analyst
  • Entrepreneur

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