Program Overview

M.S. in AI Engineering

The M.S. in AI Engineering program prepares engineers to integrate essential AI and Machine Learning (ML) techniques into their respective engineering disciplines, supported by a solid understanding of the hardware platforms that enable modern AI.

Program Description

AI and Machine Learning (ML) have become essential components of modern engineering, driving advances in how engineering systems are designed, optimized, and deployed. This program teaches how AI integrates with software, data, and the hardware needed for efficient execution, providing practical training to succeed in engineering roles that increasingly rely on intelligent systems.

Program Objectives

• Preparing engineers to use AI and ML in communication systems, transportation systems, smart grids, biomedical systems, materials engineering, and chip or embedded design.
• Teaching how AI integrates with software, data, and the hardware needed for efficient execution.
• Providing practical training to succeed in engineering roles that increasingly rely on intelligent systems.

Why This Program?

• Hardware such as GPUs and accelerators is an important enabler of AI technologies.
• AI strengthens innovation in electronics, automotive, aerospace, civil, and industrial engineering.
• Engineering fields depend more on data-driven decision making, and AI improves performance, accuracy, and cost.

Graduate Degree Programs

The department offers various graduate degree programs, including:

• Ph.D. in Computer Engineering
• Ph.D. in Electrical Engineering
• M.S. in Computer Engineering
• M.S. in Electrical Engineering
• M.S. in Power and Energy Systems
• M.S. in Telecommunications
• M.S. in AI Engineering

Research Areas

The department's research areas include:

• Photonics, Nano and Quantum Materials and Devices (PNMD)
• Communication, Signal Processing and Machine Intelligence (CSM)
• Computer Systems and Networking (CSNW)
• Energy, Power Systems, and Sustainability (EPSS)
• Robotics, Intelligent Systems, Data Engineering (RID)

Undergraduate Majors

The department offers undergraduate majors in:

• B.S. in Computer Engineering (CoE)
• B.S. in Electrical Engineering (EE)
• ECE Senior Design Project
• Undergraduate Advisement
• BS_MS Programs at ECE