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Artificial Intelligence Engineering

digital image of a computer chip with connecting circuits and the word AI

College of Engineering

Electrical & Computer Engineering

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Making smart systems

From self-driving vehicles and medical diagnostics to clean energy, cybersecurity and space exploration, artificial intelligence is revolutionizing how we design, build and solve. But it takes more than code to make AI work—it takes engineers who understand how these intelligent systems work and how to integrate them into the physical world.

In the AI engineering program, you'll learn to do just that. You’ll build technical depth at the intersection of engineering, data science and machine learning, and create solutions to challenging problems, growing your confidence to lead in a constantly evolving field. Along the way, you’ll gain hands-on experience applying AI in real-world projects, and you’ll consider how these systems work and also impact people and society.

This is a major for those who want to ask big questions, design bold solutions and help shape the future ethically, intelligently, and purposefully.

AREAS OF STUDY

Engineering applications of AI.
Machine learning and deep learning.
Optimization and data mining.
Imaging and sensing.
Cognitive systems and human-AI interaction.
Engineering ethics and responsible AI.
Robotics and intelligent systems.
Cybersecurity.

GRADUATE PROGRAMS

Artificial intelligence (MS).
Robotics.
Computer science.
Data science.
Quantum science and engineering.
Bioinformatics data science.
Cybersecurity.
Electrical and computer engineering.
Statistics.

CAREER OPTIONS

AI engineer.
Machine learning systems designer.
Data scientist.
Computational scientist.
Biomedical AI specialist.
Autonomous systems engineer.
Software engineer (AI/ML focus).
Robotics and embedded systems engineer.

What’s special about this program?

From your first year, you’ll dive into data-driven projects that bring artificial intelligence to life. Courses are hands-on and design-focused, so as you learn how machine learning or optimization works, you’ll use those tools to solve problems in areas like computer vision, energy and healthcare. You can also explore human-centered electives in cognitive science, psychology, and neuroscience, providing perspectives on human language, learning, and intelligence, and preparing you to consider the essential human elements when designing AI systems.

This program offers flexibility to follow your interests while gaining a solid technical foundation. You can tailor your experience through electives that deepen your expertise in computer science, mathematics or other technical areas, or broaden it by exploring biology, bioinformatics, energy systems or other sciences. Outside the classroom, opportunities like undergraduate research, team-based Vertically Integrated Projects and internships allow you to apply what you’ve learned and make an impact.

Future career fields

Healthcare and biomedicine.
Finance and financial technology (FinTech).
Autonomous transportation and robotics.
Clean energy and climate solutions.
Advanced manufacturing and automation.
Cybersecurity and defense.
Agriculture and food systems.
Media, entertainment and creative technology.
Education and human learning.
Government and public policy.

Sample curriculum

FRESHMAN

CISC 106	General Computer Science for Engineers
CISC 210	Introduction to Systems Programming
CPEG 202	Introduction to Digital Systems
EGGG 101	Introduction to Engineering
ENGL 110	First-Year Writing
MATH 241	Analytical Geometry and Calculus A
MATH 242	Analytical Geometry and Calculus B
PHYS 207 & 227	Fundamentals of Physics I & Lab
	Breadth Requirement Elective
	STEM Elective

SOPHOMORE

CISC 220	Data Structures
ELEG 305	Signals and Circuits
ELEG 310	Probability, Statistics, and Random Signals
MATH 210	Discrete Mathematics I
MATH 219	Data Science
MATH 243	Analytical Geometry and Calculus C
MATH 351	Engineering Mathematics I
PHYS 208 & 228	Fundamentals of Physics II & Lab
	Breadth Requirement Electives

JUNIOR

CISC 320	Introduction to Algorithms
CPEG 457	Search and Data Mining
ELEG 381	Artificial Intelligence for Engineering
ELEG 397 or 398	Intelligent Systems Design or Design & Entrepreneurship
ELEG 404	Imaging and Deep Learning
ELEG 405 or 625	Engineering Machine Learning Systems or Learning from Data
MATH 426	Computational Mathematics
MATH 450	Mathematical Statistics
	Writing Elective / College Breadth Elective
	STEM Elective

SENIOR

ELEG 401	Optimization for Signal Processing, Machine Learning, and Data Science
ELEG 491	Ethics and Impacts of Engineering
ELEG 498	Senior Design I
ELEG 499	Senior Design II
	AI Electives
	Multicultural Requirement
	STEM Elective