MS in AI Engineering-Civil Engineering

2 Years On Campus Masters Program

Carnegie Mellon University

Program Overview

The MS in AI Engineering – Civil Engineering at Carnegie Mellon University combines artificial intelligence with advanced civil engineering knowledge to prepare students for the evolving infrastructure and engineering industries. Students develop expertise in machine learning, deep learning, AI systems and ethical AI applications while applying these technologies to areas such as sustainable infrastructure, environmental systems and intelligent engineering.

Curriculum Structure

First Semester: Students build foundational knowledge in AI engineering through subjects such as Introduction to Machine Learning for Engineers and Systems and Tool Chains for AI Engineering. They also begin exploring civil engineering focus areas to understand how AI can support engineering analysis and decision-making.

Second Semester: Students advance their technical expertise through Introduction to Deep Learning for Engineers and Trustworthy and Ethical AI Engineering. They also select graduate-level civil engineering electives in areas such as intelligent engineered systems, materials and climate-resilient environmental technologies.

Third Semester: Students apply their knowledge through the CEE AI Engineering Project Course, integrating AI techniques with real-world civil engineering challenges. They complete their selected CEE graduate coursework and develop practical skills in AI-driven engineering design and problem-solving.

Focus Areas

AI Systems and Toolchains, Machine Learning, Deep Learning, Trustworthy and Ethical AI, Mechanics and Materials, Intelligent Engineered Systems, Climate-Resilient Environmental Systems, Sustainable Energy and Transportation Systems.

Learning Outcomes

AI Expertise: Develop and apply machine learning and deep learning techniques to engineering challenges.

Engineering Integration: Integrate AI technologies into civil engineering design, analysis and infrastructure management.

Data Analytics: Use advanced data analysis, optimization and predictive modelling techniques.

Responsible AI: Understand ethical, security and policy considerations in AI engineering.

Practical Application: Develop AI-based solutions through engineering projects and interdisciplinary coursework.

Professional Alignment (Accreditation)

Professional Alignment: The program combines AI engineering and civil engineering education. The university does not specify a separate professional accreditation for this master's degree.

Reputation & Employability

U.S. News & World Report 2026: Carnegie Mellon University ranked 10th nationally in Graduate Engineering and 10th in Graduate Civil Engineering. Its graduate Artificial Intelligence program ranked 1st nationally, reflecting the university's strengths in both engineering and AI education.

Experiential Learning (Research, Projects, Internships etc.)

At Carnegie Mellon University, the MS in AI Engineering-Civil Engineering program is designed to provide students with a rich blend of theoretical knowledge and practical skills. Students engage in hands-on projects that allow them to apply AI techniques to real-world civil engineering challenges. The program leverages state-of-the-art facilities and tools, ensuring that students are well-equipped to tackle the complexities of modern engineering.

Experiential learning is a cornerstone of this program, and students can expect to benefit from a variety of resources and opportunities, including:

- Collaborative Projects: Work on interdisciplinary team projects that integrate AI with civil engineering principles, fostering teamwork and innovation.
- Cutting-Edge Laboratories: Access to specialized labs such as the Civil and Environmental Engineering (CEE) labs, where students can conduct experiments and simulations.
- Internship Opportunities: Gain practical experience through internships with leading engineering firms and tech companies, enhancing your resume and professional network.
- Software Proficiency: Utilize industry-standard software tools like MATLAB, AutoCAD, and various AI frameworks, ensuring you are job-ready upon graduation.
- Field Trips: Participate in site visits to construction projects and engineering firms, providing real-world context to classroom learning.
- Research Institutes: Collaborate with renowned research centers such as the Robotics Institute and the Institute for Software Research, where you can contribute to cutting-edge research in AI applications.
- Access to Libraries: Benefit from extensive resources at the Carnegie Mellon University Libraries, which support research and learning in both civil engineering and AI.

Progression & Future Opportunities

Pursuing a Master’s in AI Engineering-Civil Engineering at Carnegie Mellon University opens up a world of exciting career opportunities. Graduates from this program are well-prepared to take on roles such as AI Engineer, Civil Data Analyst, Smart Infrastructure Consultant, and Urban Systems Engineer. The blend of artificial intelligence and civil engineering equips students with the skills to innovate and lead in a rapidly evolving field.

Here’s how Carnegie Mellon supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation through the Career and Professional Development Center, ensuring you are well-prepared for the job market.
- Employment Statistics: CMU boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation. The average starting salary for graduates in this program is around $100,000, reflecting the high demand for skilled professionals in AI and civil engineering.
- University–Industry Partnerships: Carnegie Mellon has strong ties with leading companies such as Google, Microsoft, and various engineering firms, providing students with internship opportunities and real-world projects that enhance learning and employability.
- Long-term Accreditation Value: The program is accredited by the Accreditation Board for Engineering and Technology (ABET), ensuring that your degree holds value in the job market and meets the highest educational standards.
- Graduation Outcomes: Alumni from this program have gone on to work in prestigious organizations and have made significant contributions to the field, often taking on leadership roles in innovative projects.

Further Academic Progression: After completing your Master’s in AI Engineering-Civil Engineering, you may choose to pursue a Ph.D. in related fields such as Civil Engineering, Robotics, or Artificial Intelligence. This advanced study can lead to opportunities in academia, research, and high-level industry positions, allowing you to further specialize and contribute to groundbreaking advancements in technology and infrastructure.