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Artificial Intelligence Engineering
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鈥攊t 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鈥檒l 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鈥檒l gain hands-on experience applying AI in real-world projects, and you鈥檒l 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 ST91原创Y
- 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鈥檚 special about this program?
From your first year, you鈥檒l 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鈥檒l 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鈥檝e 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
CISC 106 听 | General Computer Science for Engineers |
CISC 210 听 | Introduction to Systems Programming |
CPEG 202 听 | Introduction to Digital Systems |
EGGG 101 听 | Introduction to Engineering |
ENGL 110 听 | First-Year Writing |
MATH 241 听 | Analytical Geometry and Calculus A |
MATH 242 听 | Analytical Geometry and Calculus B |
PHYS 207 & 227 听 | Fundamentals of Physics I & Lab |
听 听 | Breadth Requirement Elective |
| 听 | STEM Elective 听 |
CISC 220 听 | Data Structures |
ELEG 305 听 | Signals and Systems |
ELEG 310 听 | Probability, Statistics, and Random Signals |
MATH 210 听 | Discrete Mathematics I |
MATH 219 听 | Data Science |
MATH 243 听 | Analytical Geometry and Calculus C |
MATH 351 听 | Engineering Mathematics I |
PHYS 208 & 228 听 | Fundamentals of Physics II & Lab |
| 听 | Breadth Requirement Electives 听 |
CISC 320 听 | Introduction to Algorithms |
CPEG 457 听 | Search and Data Mining |
ELEG 381 听 | Artificial Intelligence for Engineering |
ELEG 397 or 398 听 | Intelligent Systems Design or Design & Entrepreneurship |
ELEG 404 听 | Imaging and Deep Learning |
ELEG 405 or 625 听 | Engineering Machine Learning Systems or Learning from Data |
MATH 426 听 | Computational Mathematics |
MATH 450 听 | Mathematical Statistics |
听 听 | Writing Elective / College Breadth Elective |
| 听 | STEM Elective 听 |
ELEG 401 听 | Optimization for Signal Processing, Machine Learning, and Data Science |
ELEG 491 听 | Ethics and Impacts of Engineering |
ELEG 498 听 | Senior Design I |
ELEG 499 听 | Senior Design II |
听 听 | AI Electives |
听 听 | Multicultural Requirement |
| 听 | STEM Elective 听 |
