Harnessing the power of Artificial Intelligence (AI) is revolutionizing the field of engineering by enabling advanced data analysis, optimization algorithms, and predictive modeling for more efficient and sustainable infrastructure design and management.
The M.S. AI Engineering in CEE degree offers the opportunity to master AI integration in engineering design and domain knowledge. The program includes core courses in machine learning, deep learning, AI systems and toolchains, and engineering ethics/policy considerations. As the first program of its kind in the nation, graduates of this program are uniquely positioned for high-demand careers in this burgeoning field of CEE.
In addition to AI fundamentals, students can choose from a broad set of elective courses and a capstone project course within our CEE focus areas.
- Units required
- 108 units
- Length of program
- 3 semesters
Required courses
The MS in AI Engineering - Civil Engineering program requires a combination of units in AI Engineering and units in a CEE focus area.
Artificial Intelligence Engineering courses
Students will choose one course from each of the following areas:
- Systems and Tool Chains for AI Engineering
- Introduction to Machine Learning for Engineers
- Introduction to Deep Learning for Engineers
- Trustworthy and Ethical AI Engineering
- CEE AI Engineering Project Course
CEE graduate courses
Students may select courses from the CEE focus areas according to their interests:
- Mechanics, chemistry, and materials
- Intelligent engineered systems and society
- Climate-resilient environmental systems and technologies
- Sustainable energy and transportation systems