Artificial Intelligence Engineering BS

Home » Academics » Undergraduate Programs » Artificial Intelligence Engineering BS

Digital image of a computer chip with light circuit lines

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 program options

  • 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.

Sample Plan of Study

First Year

Fall Semester

  • EGGG 101 – Introduction to Engineering
  • CISC 106 – General Computer Science for Engineers
  • MATH 241 – Analytical Geometry and Calculus A
  • STEM Elective
  • Breadth Requirement Elective

Spring Semester

  • CPEG 202 – Introduction to Digital Systems
  • CISC 210 – Introduction to Systems Programming
  • MATH 242 – Analytical Geometry and Calculus B
  • PHYS 207 & 227 – Fundamentals of Physics I & Lab
  • ENGL 110 – First-Year Writing

 

Second Year
Fall Semester

  • MATH 219 – Data Science
  • MATH 351 – Engineering Mathematics I
  • MATH 243 – Analytical Geometry and Calculus C
  • PHYS 208 & 228 – Fundamentals of Physics II & Lab
  • Breadth Requirement Electives

Spring Semester

  • ELEG 310 – Probability, Statistics, and Random Signals
  • ELEG 305 – Signals and Circuits
  • CISC 220 – Data Structures
  • MATH 210 – Discrete Mathematics I
  • Breadth Requirement Electives

 

Third Year

Fall Semester

  • ELEG 381 – Artificial Intelligence for Engineering
  • ELEG 405 or 625 – Engineering Machine Learning Systems or Learning from Data
  • MATH 450 – Mathematical Statistics
  • MATH 426 – Computational Mathematics
  • Writing Elective / College Breadth Elective

Spring Semester

  • ELEG 397 or 398 – Intelligent Systems Design or Design & Entrepreneurship
  • CPEG 457 – Search and Data Mining
  • ELEG 404 – Imaging and Deep Learning
  • CISC 320 – Introduction to Algorithms
  • STEM Elective

 

Fourth Year

Fall Semester

  • ELEG 498 – Senior Design I
  • ELEG 401 – Optimization for Signal Processing, Machine Learning, and Data Science
  • AI Elective
  • Multicultural Requirement
  • STEM Elective

Spring Semester

  • ELEG 499 – Senior Design II
  • ELEG 491 – Ethics and Impacts of Engineering
  • AI Electives

 

Course Flowchart

Courses are subject to change. Please refer to the 2025-26 Course Catalog.

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.

Educational Opportunities

Electrical and computer engineering students at UD benefit from a broad array of experiential learning opportunities, including robust senior design and undergraduate research programs, as well as our Vertically Integrated Projects program, which unites undergraduate education and faculty research in a team-based context.

Become a Hengineer

Make your ambitions a reality. Join UD, a top-ranked university with an award-winning faculty, talented students and programs that let you craft a unique college experience.