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Computer engineers create the chips, circuits, networks and algorithms that power modern computing solutions. Develop embedded systems that control devices from smartwatches to self-driving cars.

Why Study Computer Engineering at ɫ����Ƶ

Learn to fuse hardware and software into revolutionary technologies with the Bachelor of Science (B.S.) in Computer Engineering degree program at ɫ����Ƶ. Our immersive program channels your curiosity and challenges you to experiment in classrooms, competitions and your Co-op experience to create practical solutions.

Put your brilliance to the test from your first year at ɫ����Ƶ with hands-on research opportunities in our cutting-edge labs, including the Autonomous Driving and Artificial Intelligence (ADAI) Laboratory, the ɫ����Ƶ GM Mobility Research Center and the Research in Engineering and Collaborative Haptics (REACH) Lab. We give you the tools — you design the future.

What You’ll Learn as a Computer Engineering Major

Disrupt the industry and lead the technological revolution with confidence and expertise through ɫ����Ƶ’s advanced courses and labs. Delve into embedded systems, the Internet of Things (IoT) and AI applications.

Gain leading-edge skills through our innovative computer engineering curriculum. Our advanced electives push you to higher levels of expertise so you can be an expert in emerging technologies and stand apart from your competition. Courses include:

• Artificial Intelligence for Autonomous Driving: Dive into machine learning models like neural networks to develop intelligent systems for object detection and classification using automotive sensor data.
• Computer Vision for Autonomous Driving: Understand technologies that enable computers to interpret visual data from sensors for self-driving cars through algorithm implementation.
• Internet of Things: Explore IoT architecture, smart devices, networking protocols and security to build complete IoT applications spanning industries like manufacturing and healthcare.
• VR Systems: Modeling & Control: Design multimodal virtual reality systems that enable realistic user interactions. The course also covers concepts like human perception, control theory and human-centered simulation.