The AI Engineering bachelor’s degree integrates engineering fundamentals with cutting-edge artificial intelligence and machine learning to prepare students to design, build, and deploy intelligent systems across diverse industries. AI Engineering combines computational thinking, systems design, data analysis, software engineering, and real-world AI applications to equip students with both theoretical understanding and practical experience.

This interdisciplinary program prepares graduates to tackle complex engineering challenges involving autonomous systems, intelligent control, scalable machine learning, data-driven decision making, and human-centered AI solutions.

How to Prepare for this Degree

Students planning to pursue AI Engineering at USU are encouraged to strengthen their preparation with relevant high-school or preparatory coursework, such as:

• AP Calculus AB/BC or advanced mathematics
• AP Statistics or Probability & Statistics
• Computer programming fundamentals (Python, C++, or equivalent)
• AP Physics or engineering sciences
• Breadth requirements such as American Institutions and humanities courses

For additional guidance on specific course planning and requirements, students are encouraged to contact an academic advisor in the College of Engineering.

Student Experience

• Hands-on project work that bridges AI algorithms with engineered systems
• Collaborative team projects that reflect real-world problem solving
• Engagement with faculty mentors actively researching robotics, autonomous systems, machine learning, and data-intensive computing
• Capstone design sequence where students integrate AI models with hardware, software, and system tests

The AI Engineering degree emphasizes experiential learning, giving students opportunities to participate in undergraduate research, internships, and cross-disciplinary design teams.

Areas of Application

Graduates of the AI Engineering program are prepared to work in areas such as:

Internships and Careers